
GreyNoise today announced that it achieved SOC 2 Type 2 compliance in accordance with American Institute of Certified Public Accountants (AICPA) standards for Systems and Organizational Controls (SOC). Achieving SOC 2 compliance with unqualified opinion serves as third-party industry validation that companies provide best-in-class enterprise-level security for their customers’ data.
SOC2 is a difficult undertaking, especially if you do not have dedicated compliance or security resources who will contribute to creating the policies and implementing the changes. If you take one thing away from this post, let it be this: hire for Systems Administrator and IT operations roles before you think you need them because it will be too late by the time you do need them. Systems Administration tech debt and work is an exponential curve; the longer you go without them, the harder it becomes to fix. Aside from the struggle of collecting evidence through screenshots and questionnaires, both systems administration and engineering cycles will be required to meet the framework standards and controls.
SOC2 is broken out into five pillars:
Approaching the controls one-by-one can be a daunting task. We found it was more manageable to divide the process into general phases, the last of which is the audit itself.
Our advice here is to not go it alone. From evidence collection and auditor documentation delivery to infrastructure and compliance control scanning, there are myriad different vendors which make every step of the process easier. Take time choosing the auditor that is right for you. Some are very “by the book” and others will be more lenient on “acceptable risk” controls.
You will need platforms for a lot of controls - including SAST, vulnerability scanning, asset tracking/management, version control, and more. For the most part, free open-source software exists for each step along the way. We found it best to mix and match, opting for paid platforms where open-source implementation was going to take too much engineering time value away from other ongoing projects. For example, gosec and tfsec for some language-specific SAST scanning, CloudFlare’s Flan for internal vulnerability scanning, and Grokability Snipe-IT for asset management versus GitHub Advanced Security licenses, Tenable Nessus, ServiceNow ServiceDesk, or Oomnitza. These latter are perfectly useful products, but it’s important to decide what you want to pay for versus what you can run yourself for free. The value any company puts on each function or service the platform provides compared to the cost or time value of money will be different.
The two direct SOC2-specific platform choices are the auditor and the compliance automation platform. SOC2 is significantly more difficult without a compliance automation platform - we estimate using such a platform saves over a hundred hours of work.
Auditors: Check which audit firm was used when you collect your SOC2 and SOC3 reports from your vendors. Turn that list into your potential auditor review list, and make a decision for an audit firm based on your meetings and due diligence with those firms. GreyNoise went with Prescient Assurance. They have a security arm that can provide your third-party penetration test, which is optional for SOC2, for a bundle discount.
Compliance Automation: Auditors will need access to a mountain of evidence in the form of read-only access to your environment, screenshots, and questionnaire answers. This is made easier with a compliance automation platform. Whereas an audit firm may not have a process in place for provisioning roles for their access, compliance platforms do, and they make it easy to both roll out and roll back. GreyNoise decided to use SecureFrame as their pricing, offering, and overall functionality/featuring was more directly suited to our needs. Some other popular options include Drata, Vanta, HyperProof, Anecdotes, and Tugboat Logic.
Implement, document, and be able to explain the following eight “heavy-hitters”.
Set up Okta, Google Cloud Identity, OneLogin, Azure Active Directory, or Auth0. The choice here depends on what technology you are already using for business productivity. If you are already using Office 365, then Azure Active Directory is the easy choice. If you are already using Google Workspace, then Google Cloud Identity may be the best option. When an employee logs into anything, they would ideally use their work credentials as much as possible. Enforce multi-factor authentication everywhere. Ditch single-user access and access keys and switch to “AssumeRole” if you are leveraging AWS, GCP, or Azure. In our environment, we added SAML tokens to each user in Google Workspace allowing them to assume a role (Read Only, Billing, Administrator, etc.) in the corresponding AWS accounts.
Set a secure password preference order:
Leverage an organization-wide password manager like 1Password or Bitwarden, with separate “vaults” for departments and roles. Use something with automatic detection of weak or reused passwords, and enforcement of strong password policies.
Implement some approval processes for your pull requests. Don’t limit it to just a manual review by engineering management or leadership. Include automated testing and the scanning of code for unit, integration, and end-to-end tests to ensure builds are passing and security policies/controls are green. Diagram out the overall process, like this:

You will need different environments - such as development, staging, and production. Deployments move across each, and are tested in each before actual implementation in the production environment. Ideally, changes to these environments would be tracked and dictated by GitHub, GitLab, BitBucket, or some other code version control platform.
A SIEM is not a requirement for SOC2, but extensive logging capabilities with alerting are. If there is a resource or storage essential to the operation of your product or business, access and audit logs for the resource should be easily retrieved and reviewed.
If an employee logs in to a resource from Washington, DC and then logs in from Seattle, WA, a few moments later from a different device, you need to know about it immediately through logging or block that second login altogether. If 100GB of data is downloaded from an S3 bucket when the daily average is 10GB, alarm bells should go off. Establish what “normal” is, and have a process in place to regularly review anomalous activity or anything outside of that normal bound.
Collecting logs will help you in post-incident response situations. Regularly reviewing and alerting on those logs will help you to avoid post-incident response situations.
Have a reproducible process in place for spinning up infrastructure resources. This can be implemented with Infrastructure as Code and configuration management tools like Salt, Ansible, Terraform, Chef, Puppet, or CloudFormation.
SOC2 will be significantly more painful if infrastructure in your environment is created manually by the engineering or IT team without an approval process or automation. GreyNoise infrastructure is entirely in Terraform and Salt. This way, approval and automation are shared with the CI/CD and pull request pipeline. If a process already exists that can be leveraged, it will save time.
The general idea here is that you should do as much as possible NOT in the web console for something like AWS, Azure, or vCenter. Take note of any actions you perform in the web console - this is your automation list.
Install an MDM platform on all company-owned desktops, laptops, and phones. Any device which will access the internal systems of your product or customer data. Roll out the “compliance” packs for SOC2 to enforce things like password complexity, disk encryption, and software update cadence.
This is a crowded space, often undergoing expansion and consolidation. Fleetsmith was a great Mac OS and iOS MDM tool. Apple acquired the company and quickly removed all capability to install third-party (non-Apple and non-App Store) apps. Apple killed the product two years after the acquisition. The gold-standard for Mac OS and iOS seems to be JAMF/JAMF Pro.
GreyNoise ended up splitting MDM platforms - one for Mac and one for Windows/Linux. It is a difficult choice to make between a broader platform that covers three Linux distributions, Windows, and Mac OS at a percentage of what you need and two or three platforms that cover almost all of what you need for each.
A lot of time will be spent on scoring vendor risk based on their operational reliance and the data they access or contain. Part of SOC2 requires collecting compliance reports from these vendors (SOC2, SOC3, ISO 270001, etc.) and reviewing them annually. A comprehensive list of vendors is an important one to keep up to date for both compliance and cost control reasons.
In developing this list, GreyNoise found a handful of vendors we were still paying but either not using or the service/functionality they provided was duplicated by another platform. Ultimately, SOC2 required us to enumerate our vendors, generate a Software Bill of Materials (SBOM), and led to cost savings by eliminating or consolidating redundant platforms.
An understandably broad topic, but for SOC2 specifically you should be scanning for:
Each finding should have a rating from informational to critical, and each rating should have a time-to-resolution SLA which dictates how quickly or how much time it takes you to respond to and remediate. There are some free solutions which offer compliance control monitoring, such as SteamPipe compliance packs for AWS. GreyNoise decided to partner with SecureFrame to streamline the monitoring of these controls and to provide auditors with access to our provided documentation and evidence quickly and securely. A compliance automation vendor is strongly recommended for time and sanity's sake.
SOC2 includes some business operational aspects which will encompass a few different departments or teams in your organization. The following are some examples required for SOC2:
Many compliance automation platforms include auto-generated policies which require slight tweaking and adjustments to pass the “policy” controls. Invest time in either writing your own or significantly building on the automated policy output from your compliance platform. There are plenty of great security companies who publicly publish their policies (https://tailscale.com/security-policies/) which you can build on and adapt to your needs. GreyNoise will also publish our policies in the near future.
Failing controls and tests will pop up after rolling out the compliance automation platform. The time to resolve these controls varies significantly, so consider this phase will take the longest time. In our experience, the longest controls to flip from red to green were all data encrypted in transit and all data encrypted at rest.
You will want to resolve these tests until at least 90% are green before kicking off the audit itself. Work with your team to bucket the failing controls, and turn them into issues or projects to be assigned. You can even provide screenshot evidence of these projects and issues as proof of your organization’s incident tracking from discovery to resolution for the SOC2 audit.
This is the phase which will likely take the most time, money, and effort from your team. Unless you “shifted left” right out of the gate and began developing on day one with a security mindset baked in, plan to dedicate a few weeks or a couple of months to remediating failing controls.
Part of the phase also includes screenshot and evidence gathering. SecureFrame helped GreyNoise to easily organize this evidence and gave us an easy way for auditors to access it. This may take several days or weeks to complete and you will wind up with hundreds of screenshots, documents, templates, and examples.
One thing to note is that you will never see a failed SOC2 report or audit. You either get a report or not. If you fail to get a report, you can always try again when you are better positioned. Failure means you get to try again until you succeed. Success means you still need to do it again next year.
From project kickoff to completion, SOC2 took GreyNoise about 18 months for the first time. Recertification, which needs to be completed annually, will take us about four months moving forward.
The time to complete SOC2 accreditation can be greatly reduced by the more dedicated resources you have to the implementation and maintenance of compliance. The shortest amount of time we imagine possible for first-time SOC2 accreditation is six months.
Keep in mind that you will be reperforming the audit exactly one year after you receive the accreditation. You may decide to add some other compliance certifications, such as ISO 270001. As time goes on and your company grows, compliance becomes harder and will require a dedicated team.
The audit process is broken down into two phases, Type 1 and Type 2. Type 1 is a short audit period, usually a couple of days, and Type 2 is longer, usually between 60 and 90 days.
Type 1 means you meet the audit criteria at a single point in time; Type 2 means you maintain compliance with those same criteria over a period of several months. In other words, Type 1 is meeting the compliance standard, and Type 2 is maintaining that compliance standard with any changes over time.
Here are some of our opinions, takeaways, and advice:
The way your organization approaches SOC2 compliance can be the easy way or the hard way. Attitude could be easy, to treat compliance like a checkbox and do the minimum to pass the audit. Or it could be hard - to take the input and output from the framework and make significant changes to processes to bake in security as a priority early on for everyone. For those serious about security, the hard choice is easy to make.

May brought more product enhancements to user workflows, data coverage… and of course, more interesting tags! Twenty four to be exact, as we continue to improve our product to help our customers monitor emerging threats and identify benign actors. We improved our sensor coverage to include coverage in the country of Ghana, plus we made some helpful improvements to our bulk analysis, RIOT dataset, and APIs.

The Bulk Analysis function in the GreyNoise Visualizer has been improved so that users can now export unidentified IPs via CSV and JSON.
This improvement helps analysts more easily identify the ‘interesting’ IPs in a bulk dataset that they are analyzing (IPs identified by GreyNoise are identified to be known common scanners or common business services; IPs that are UNKNOWN in GreyNoise could represent a targeted threat or something that requires additional investigation).
To access this feature, go to the GreyNoise Analysis page and analyze a file or dataset containing IP addresses.

Two fields have been added to the metadata returned via Bulk Data, IP Context API, and GNQL API that will help users determine baselines or rates of activity:

We are now tracking Qualys scanner IP addresses in our RIOT database of common business services, so that customers can whitelist this activity (should they wish to) or contextualize this activity when seen in their security logs.
RIOT identifies IPs from known benign services and organizations that commonly cause false positives in network security and threat intelligence products. The collection of IPs in RIOT is continually curated and verified to provide accurate results.



The GreyNoise App for Splunk has been updated to include a new Feed component, which allows users to ingest the GreyNoise indicator feed into Splunk to be used for high-volume log enrichment. Additionally, new dashboard and commands have been added to support the IP Similarity and IP Timeline tools. Learn More
ThreatQ has released new GreyNoise Actions for the Orchestrator platform which allow for IP Similarity, RIOT and Quick lookups against the GreyNoise API. These updates can be downloaded from the ThreatQ Marketplace. Learn More
In May, GreyNoise added 24 new tags:
20 malicious activity tags
3 benign actor tags
1 unknown tag
All GreyNoise users can monitor scanning activity we’ve seen for a tag by creating an alert informing them of any new IPs scanning for tags they are interested in.
KEV'd: CVE-2021-45046, CVE-2023-21839, and CVE-2023-1389
On Monday, May 1, 2023, CISA added CVE-2021-45046, CVE-2023-21839, and CVE-2023-1389 to the Known Exploited Vulnerabilities (KEV) list. For all three CVEs, GreyNoise users had visibility into which IPs were attempting mass exploitation prior to their addition to the KEV list. GreyNoise tags allow organizations to monitor and prioritize the handling of alerts regarding benign and, in this case, malicious IPs.
Trinity Cyber + GreyNoise: Sharing Intelligence to Protect Internet Citizens
At GreyNoise we recognize the value of partnership and intelligence sharing when it comes to protecting internet citizens. Today the GreyNoise Labs team wants to give a shoutout to Trinity Cyber.
Progress’ MOVEit Transfer Critical Vulnerability: CVE-2023-34362
On May 31st, 2023 Progress issued a security notice to users of MOVEit Transfer regarding a vulnerability that allows for escalated privileges and potential unauthorized access to the environment. CVE-2023-34362 was assigned to this vulnerability on June 2, 2023.

We’ve added additional sensor coverage for the following countries:
You can view which IPs are seen scanning sensors in certain countries from our IP details page, or use `destination_country:”<country_name>”` in GNQL to find IPs that have hit those regions. Destination country search is available in all commercial plans for GreyNoise and to our community VIP users.


On May 31st, 2023 Progress issued a security notice to users of MOVEit Transfer regarding a vulnerability that allows for escalated privileges and potential unauthorized access to the environment. CVE-2023-34362 was assigned to this vulnerability on June 2, 2023. MOVEIT transfer tag can be viewed here.

Progress’ security notice is advising users to review their system for unauthorized access for “at least the past 30 days”, however, GreyNoise has observed scanning activity for the login page of MOVEit Transfer located at /human.aspx as early as March 3rd, 2023. While we have not observed activity directly related to exploitation, all of the 5 IPs we have observed attempting to discover the location of MOVEit installations were marked as “Malicious” by GreyNoise for prior activities.
Based on the scanning activity we have observed, it is our recommendation that users of MOVEit Transfer should extend the time window for their review of potentially malicious activity to at least 90 days.
The primary artifact, observed through publicly available information, is the presence of a webshell named human2.aspx. This is a post-exploitation file artifact that is written to the filesystem by a malicious actor allowing them to execute arbitrary commands.
GreyNoise is observing scanning activity looking to identify the presence of the human2.aspx webshell dropped as part of the post-exploitation activity.
While the specific details of the initial exploitation vector are largely unknown at this time, we would like to provide the following items and details to our customers and community:
Last but not least, a big thank you to the GreyNoise community for alerting us to this activity early on.

Threat hunters spend a significant portion of their time searching through security logs looking for specific Indicators of Compromise (IoCs) or patterns of activity/behavior that indicate compromise. This work comes with some specific challenges:
To further enhance threat hunting and address some of these pain points, organizations can use tools like GreyNoise in conjunction with a SIEM or SOAR platform to quickly identify potential threats and investigate them further and get more out of their existing tools and filter through data sources faster. By understanding how infrastructure is being used, vulnerabilities being leveraged, and patterns of scans, threat hunters can gain valuable context on how adversaries operate and improve their response to threats.
Recently, we held a webinar on this topic, where we discussed how organizations are using specific techniques in their day-to-day operations. To gain perspective on how you can streamline your threat hunting process, sign up for the webinar and download it today to learn:


GreyNoise is built on a strong foundation of mutual respect from our community. While we love doing swag drops on Twitter (or maybe Bluesky - anyone have an invite?), we wanted to recognize community members that go above and beyond.
Enter the GreyNoise Ambassador Program! We couldn’t think of a better way to celebrate our users' constant support, spirit of collaboration, and mentorship within our community. I’m here to answer all your burning questions about the program and how you can apply!
Ambassadors are pillars of the GreyNoise Community. This program celebrates their efforts to support community growth and accessibility, focusing on three key elements:
Ambassadors are folks who have dedicated time and resources to bettering GreyNoise, whether through continuous feedback, bug reports, integrations, conference talks, or they’re just deeply dedicated to reducing Internet Noise.
If you are on the fence about being an ambassador, let us tell you about the perks you get:

In exchange for being our Ambassador, we ask that you will do 1 or more of the following:
Your term as an Ambassador will last a year, and when Spring 2024 rolls around, you will be asked to reapply.
If this all sounds good to you, we ask that you fill out this application. We will evaluate applications until the end of May and send notice to our Ambassadors in early June!
If you have any questions, don’t hesitate to reach out to the Community team.


As a Product Manager at GreyNoise, I’m constantly learning about how our users think about internet noise and accordingly search our data with the GreyNoise Query Language (GNQL). It might surprise you (or not) that we see some pretty random searches.

As evidenced by our 2000s style word cloud, users have been searching anything from “log4shell” to “lockbit” to “mcdonalds.” While GreyNoise search is not a threat actor Google, we do have a lot of data on interesting threats. Let me clear up our search bar for those of us who want to improve our ninja search skills.
The answer is anything, which is why you should use GNQL searches!
When you throw a word into the GreyNoise Viz search bar, we treat it like a free text search, where we search all of our data for that term - so this means if you search “banana,” we will return the IP addresses that have scanned for the “/banana/” directory. But we might also return IPs with “banana” in their user agent.
The GNQL way of guaranteeing you only get IPs with “banana” in the HTTP web paths is to utilize the raw_data.web.paths field selector. The search for our banana path would look like raw_data.web.paths:"/banana/"

If you’re looking for an exceptional user agent or organization, we also have field selectors: raw_data.web.useragents and metadata.organization respectively.
For the searches that are word-based but land outside web paths, user agents, and organizations, we have a few other categories they might fall into - Actors, Tools, Botnets, and Techniques. For these, I recommend searching our tags. This is as easy as going to the tags page and utilizing the tag search bar, where we can return all our tags containing your search term.

As for threat groups - at this time, GreyNoise does not dabble in attribution to threat groups. If you’re looking for a particular group, we recommend identifying IoCs that the groups may use if you’re trying to track them down. We have found initial reconnaissance IPs in reports from other research groups lurking in our data and have those web paths that may indicate compromise by C2/botnet activity.
I hope these tips helped level up your GreyNoise search skills to help you find what you’re looking for even faster. Stay tuned for more internet noise search tips soon!



At GreyNoise we recognize the value of partnership and intelligence sharing when it comes to protecting internet citizens. Today the GreyNoise Labs team wants to give a shoutout to Trinity Cyber.
Last week the Threat Analysis team at Trinity Cyber reached out to GreyNoise providing evidence of exploitation for CVE-2023-1389, a command injection vulnerability in TP-Link Archer AX21 firmware. With the provided information, in under two hours, GreyNoise deployed a tag to detect and confirm exploitation in the wild. You can read more about this here.
Shortly after shipping that tag, Trinity Cyber then provided evidence for five more CVEs which we were able to get tagged and published this week for all of our users! They are as follows:
Thank you for your transparency and continued support, Trinity Cyber! Together we make the internet safer.

GreyNoise added a number of exciting updates in April, including 20 new tags for users to monitor emerging vulnerabilities and threats, and identify benign actors. We’ve also added integration updates to support our new IP Similarity and Timeline features, and enhancements to the IP Similarity capability to improve accuracy and give users a summary view to easily understand similar IP infrastructure.

We’ve enhanced our IP Similarity feature with a summary view that breaks down the high level summary of what fields we found similar in our dataset, and allows customers to quickly scan for common fields and tags. IP Similarity is available to paying customers and to our community VIP users: start a trial* today to explore or learn more about this feature.
We've updated the algorithm used by our IP Similarity to improve accuracy through several changes. Feature vectors are scaled and normalized to increase the distance between low and high information numbers, resulting in lower similarity scores. Bugs related to tokenizing user agent and web path strings were fixed, and options like 'unknown' and certain domain names were excluded. Values for webpath, rDNS, OS, and ports were adjusted, resulting in a feature vector with 693 items. Lastly, the minimum info threshold was raised to help improve accuracy of results.

We’ve enhanced our IP timeline feature to store up to 90 days of IP history data (previously, we provided up to 60 days of data) to enable customers to better understand historical IP activity when threat hunting or performing incident response. IP Timeline is available to paying customers and to our community VIP users: start a trial* today to explore or learn more about this feature.

We updated our Anomali ThreatStream Enrichment to include our IP Similarity and IP Timeline features. From the context of an observable, customers can now see all details GreyNoise knows, plus view similar IPs and the timeline of observed activity. Learn More
Our Malicious IP Feed is now available on the Anomali ThreatStream marketplace. Customers can now easily subscribe to the feed and get a daily update of malicious IPs that GreyNoise observed scanning the internet in the last 24 hours. Learn More
We updated our Splunk SOAR integration to introduce two new commands: "similar noise ips" and "noise ip timeline". These commands pull data from the GreyNoise IP Similarity and IP Timeline features and allow customers to bring that context into Splunk SOAR for an analyst to use during an investigation. Learn More
We updated our Maltego Enterprise transform set to include a new Transform that allows for users to query for Similar IPs. This leverages the new IP Similarity tool, and allows for Maltego users to bring similar IPs into their graph for additional research and correlation within Maltego. Learn More
The GreyNoise SDK has been updated to include both CLI and API based commands to interact with the new IP Timeline and IP Similarity APIs. Learn More
In the month of April, GreyNoise added 20 new tags:
10 malicious activity tags
6 benign actor tags
4 unknown activity tags
All GreyNoise users can monitor scanning activity we’ve seen for a tag by creating an alert that will inform them of any new IPs scanning for tags they are interested in.
Change in ENV Crawler Tags as Bots Continue to Target Environment Files
On Tuesday, April 25, 2023, GreyNoise is changing how we classify environment file crawlers from unknown intent to malicious intent. At the time of publication, this change will result in the reclassification of over 11,000 IPs as malicious. Users who use GreyNoise’s malicious tag to block IPs based on malicious intent will see an increase in blocked IPs.
Active Exploitation Attempts (CVE-2023-1389) Against TP-Link Archer Gigabit Internet Routers
In collaboration with our partner Trinity Cyber, GreyNoise has a new tag for scan traffic related to CVE-2023-1389, a pre-auth command injection weakness in TP-Link Archer routers.
New Vulnerability: PaperCut MF/NG
On Friday, April 21, 2023, CISA added CVE-2023-27350 (a critical unauthenticated remote code execution vulnerability) impacting PaperCut MF and PaperCut NG to the Known Exploited Vulnerabilities (KEV) list. PaperCut MF and PaperCut NG are both enterprise printer management software.
Check Point Research discovered three vulnerabilities in Microsoft Message Queuing (MSMQ) service, patched in April's Patch Tuesday update. The most severe, QueueJumper (CVE-2023-21554), is a critical vulnerability allowing unauthenticated remote code execution. GreyNoise has a tag, classified as malicious, for the full QueueJumper RCE Attempt.

We’ve added additional sensor coverage for the following countries:
Destination country search is available in all commercial plans for GreyNoise and to our community VIP users. Start a trial* today to explore destination data.

The GNQL cheat sheet is now available in the search bar. Want to learn more about how to effectively use GNQL? Review the cheat sheet for some helpful examples around syntax and available fields to use in search.


On Monday, May 1, 2023, CISA added CVE-2021-45046, CVE-2023-21839, and CVE-2023-1389 to the Known Exploited Vulnerabilities (KEV) list. For all three CVEs, GreyNoise users had visibility into which IPs were attempting mass exploitation prior to their addition to the KEV list. GreyNoise tags allow organizations to monitor and prioritize the handling of alerts regarding benign and, in this case, malicious IPs.

TP-LINK ARCHER AX21 COMMAND INJECTION VULNERABILITY SCAN | CISA KEV UPDATE: CVE-2023-1389

ORACLE WEBLOGIC CVE-2023-21839 RCE ATTEMPT | CISA KEV UPDATE: CVE-2023-21839

APACHE LOG4J RCE ATTEMPT | CISA KEV UPDATE: CVE-2023-45046

On Thursday, April 27, 2023, GreyNoise released a tag for the critically scored CVE-2023-21554, QueueJumper, a Microsoft message queuing remote code execution vulnerability.
As of this publication, we have not observed mass exploitation attempts, but have observed >600 IPs that are attempting to discover Internet-facing Microsoft Windows devices that respond over Microsoft Message Queuing (MSMQ) binary protocol.



GreyNoise researchers now have a tag, classified as malicious, for the full QueueJumper RCE Attempt. As of the time of this post, no active RCE scanning attempts have been seen in GreyNoise for the past 90 days.
Check Point Research is slated to reveal full technical details later in the day on Friday, April 28, 2023.
MICROSOFT MESSAGE QUEUING (MSMQ) QUEUEJUMPER RCE ATTEMPT | CVE-2023-21554

MICROSOFT MESSAGE QUEUING (MSMQ) CRAWLER | CVES: No associated CVEs

MICROSOFT MESSAGE QUEUING (MSMQ) HTTP CRAWLER | CVES: No associated CVEs

Check Point Research discovered three vulnerabilities in Microsoft Message Queuing (MSMQ) service, patched in April's Patch Tuesday update. The most severe, QueueJumper (CVE-2023-21554), is a critical vulnerability allowing unauthenticated remote code execution. The other two vulnerabilities involve unauthenticated remote DoS attacks:
MSMQ, though considered a “legacy” service, is still available on all Windows operating systems.
According to Check Point researchers, over 360,000 IPs have the 1801/tcp port open, running the MSMQ service. The service may be enabled without user knowledge when installing certain software, such as Microsoft Exchange Server. Exploiting MSMQ vulnerabilities could allow attackers to take over servers. It's crucial for administrators to check their servers and install Microsoft's official patch. If unable to apply the patch, blocking inbound connections for 1801/tcp from untrusted sources can serve as a workaround.
GreyNoise researchers have two activity (vs exploitation attempt) tags that detect when someone is scanning to find exposed instances of the MSMQ service:
When we combine these tags, we presently see (at the time of publishing this post) just over 500 unique IP addresses — all from sources we’ve qualified as benign (👋🏼 Censys and Shadowserver!). The most prolific scanning is happening on the non-HTTP endpoint.

GreyNoise strongly recommends that organizations use our blocklists to shut down any identified malicious IPs with extreme prejudice before they have a chance to cause harm.
Our researchers are also hard at work digging into the details of each of the three weaknesses to craft specific exploitation detections which will, by default, be coming from malicious sources.
GreyNoise's detection capabilities for inventory scans of MSMQ protocols provide a reliable and essential tool in identifying and blocking malicious IPs targeting these vulnerabilities. With the accuracy of GreyNoise tags, security professionals can trust the system to highlight potential threats, allowing them to focus on other critical aspects of their organization's security. These IP Blocklists are available to all GreyNoise users now.*
*You must be signed in to access Blocklists. Create an account today.


On Friday, April 21, 2023, CISA added CVE-2023-27350 (a critical unauthenticated remote code execution vulnerability) impacting PaperCut MF and PaperCut NG to the Known Exploited Vulnerabilities (KEV) list. PaperCut MF and PaperCut NG are both enterprise printer management software.
Originally ZDI-23-233, CVE-2023-27350 (CVSS 9.8) impacts both application servers and site servers for PaperCut MF and NG version 8.0 or later, according to PaperCut, and have been fixed in PaperCut MF and PaperCut NG versions 20.1.7, 21.2.11 and 22.0.9 and later.
PAPERCUT RCE ATTEMPT | CISA KEV UPDATE: CVE-2023-27350

PAPERCUT AUTHENTICATION BYPASS CHECK | CISA KEV UPDATE: CVE-2023-27350

The inclusion of this vulnerability on the KEV list implies that exploitation has been confirmed in the wild. Additionally, the PaperCut advisory also points out reports of exploitation dating back to April 13, 2023, 15:29 UTC.
GreyNoise has published two tags related to this PaperCut vulnerability:
At the time of publication, GreyNoise has not observed mass exploitation for this vulnerability but has observed two IPs mass scanning for the vulnerability; this could be for a few reasons. It could be that exploitation is happening in a more targeted fashion or simply because scanning for this vulnerability isn’t technically necessary as a specific Google search will return a few thousand hits which attackers can use to focus exploitation attempts on.
GreyNoise recommends that organizations that use PaperCut follow the vendor's guidance to upgrade and review systems for signs of compromise. (This information is included in PaperCut’s advisory).
While signed in to GreyNoise, click below to set up a daily alert to be notified of new results.

Today, in collaboration with our partner Trinity Cyber, GreyNoise has a new tag for scan traffic related to CVE-2023-1389, a pre-auth command injection weakness in TP-Link Archer routers.
TP-Link Archer AX21 (AX1800) firmware versions before 1.1.4 Build 20230219 contained a command injection vulnerability in the country form of the /cgi-bin/luci;stok=/locale endpoint on the web management interface. Specifically, the country parameter of the write operation was not sanitized before being used in a call to popen(), allowing an unauthenticated attacker to inject commands, which would be run as root, with a simple POST request.
The following is a sample of traffic related to these exploit attempts.

There has not been an observed, successful injection detected to-date, so we have published a “scan/crawler” tag — TP-Link Archer AX21 Command Injection Vulnerability Scan — to help organizations identify this activity and will be working closely with Trinity Cyber and other partners to identify successful exploit attempts to help identify successful malicious mass exploitation attempts.
Tenable initially identified this weakness, and has confirmed that successful exploitation is only likely across WAN interfaces under rare conditions. The Zero Day Initiative (ZDI) has also detected exploit activity and has suggested that their telemetry indicates that the Mirai botnet has updated its arsenal to include this new exploit. They further indicate that exploitation across the WAN interface will likely be difficult, but not impossible
Organizations should work to patch any known, official deployments of these routers and advise their remote workforce to ensure they apply the appropriate vendor updates as soon as possible if they have them installed at their remote location(s).
Our engineering team is performing a retroactive tagging exercise to determine if we have seen mass exploitation attempts within the previous ninety days. However, Trinity Cyber has shared that they have observed 193.32.162.189 actively engaged in current exploitation attempts.
GreyNoise suggests that, where possible, organizations block this IP address and use our hourly-updated block lists to help keep their infrastructure safe from mass exploitation attempts.
We will provide an update once we have a tag for a confirmed, successful malicious activity for this vulnerability.
While signed in to GreyNoise, click below to set up a daily alert to be notified of new results.

On Tuesday, April 25, 2023, GreyNoise is changing how we classify environment file crawlers from unknown intent to malicious intent. At the time of publication, this change will result in the reclassification of over 11,000 IPs as malicious. Users who use GreyNoise’s malicious tag to block IPs based on malicious intent will see an increase in blocked IPs.
An environment file crawler is a bot that scours the internet for publicly available env files. The use of these files have been popular for over a decade and are used to pass dynamic environmental variables to software and services.
Environment files are dotfiles; dotfiles are hidden files that are hidden from the user by default but are editable by any text editor and contain configuration settings for various applications. An example of an environment file is:
They almost always contain sensitive data such as authentication information (ex. keys or passwords) and often their specific connection paths. For this reason, env files should never be exposed publicly; anyone who obtains the file can potentially access sensitive information. Adding insult to injury, organizations often are unaware that they are exposing these files to the public, and these crawlers have been historically overlooked.
For years, GreyNoise has monitored env scanners and classified them as unknown intent. However, we continuously strive to enhance our datasets to safeguard organizations and increase the effectiveness of SOCs; thus, we have decided to reclassify these crawlers as malicious.
Click/tap here for more information on GreyNoise classifications.
The reclassification of intent will affect the following tags:



These files should never be publicly exposed since they typically contain sensitive information; the internet noise generated by the constant searching for these files is indicative of the scale of opportunistic attackers looking for credentials.
Using environment files to compromise organizations is a well-established tactic
There are numerous CVEs related to env files as information disclosure or code execution, including but not limited to:
Organizations should take proactive measures to regularly look for exposed .env files; scanning once won’t cut it as they can appear at any time. Searching for unsecured env files should be a part of an organization's vulnerability management program. If you do find a publicly available .env file for your organization, it is imperative that you immediately remediate the exposure and rotate any credentials that were leaked. GreyNoise will continue to review the classifications of our tags to ensure their efficacy.
Sign up for a free GreyNoise account or request a demo to see how GreyNoise can help provide immediate protection from threats like these, especially when activity mutates from "unknown" or "benign" to "malicious.”


SOC teams have struggled with false positive alerts since, well, the beginning of security centers. There are a lot of studies (by security vendors) on how much time SOC analysts spend on false positive alerts. Unfortunately, we are not IPO rich (yet) - so we didn’t conduct our own study - but we did take the average from a few (1, 2, 3) reports. According to our sources, a single analyst wastes an average of 8.4 hours per week triaging false positive alerts.*
GreyNoise can help SOC teams reduce false positives by providing context to the alerts on internet-wide scanners, crawlers, and other suspicious activity that may trigger false alarms. How many times have you got an alert that turns out to be [insert security company] just scanning the internet?

By integrating GreyNoise into your alerting workflow, your team can eliminate background noise and focus on the most actionable and relevant alerts.
So what can you do with ~8+ hours of your life back each week?
By using GreyNoise to filter out benign internet scanners, SOC teams can improve decision-making, reduce alert fatigue, and enable teams to focus their time and resources on genuine threats. Start exploring our data today.
*Yes, we know that the actual time spent varies based on the size of the security team and organization.


We recently built out a new Premium Feed for Anomali ThreatStream. Anomali customers can now pull in all malicious IPs GreyNoise has seen hitting our sensors in the past 24 hours, on a daily basis.
While most feeds in Anomali are used to build lists of observables that will trigger alerts or investigations within their other security tools, GreyNoise is not your typical threat feed and should be treated differently. In this post, we’ll walk through how Anomali users should leverage the GreyNoise feed, how you can access a trial, and a couple other loose ends.
Observables that show up in the GreyNoise Malicious Threat Feed in Anomali all have three things in common:
Because of these, customers trust that GreyNoise Malicious Feed observables are associated with an IP that has been seen blasting large swaths of the internet, and likely not indicative of a targeted attack worth an analyst’s time to review.
GreyNoise’s Malicious Feed in Anomali is best used as a feed for opportunistic attack activity that should be automatically blocked. Our data is highly reliable so many of our customers trust our data to leverage in automated actions, like blocking, to save their analysts’ time. Our malicious feed should NOT add to an analysts triage queue.
In order to try out the GreyNoise Malicious Feed in Anomali, you need a GreyNoise account with an active Enterprise trial. Start by Signing Up Here then clicking on the Activate Trial button on the GreyNoise Account page. Once you have the trial enabled, grab your GreyNoise API key, and head over to the Anomali Marketplace.

In the Anomali Marketplace, find the Premium Feed for GreyNoise, then click Get Access and drop in your API key. This will provide you with 14 days of trial access to the feed.
If after the trial you’d like to make it a permanent feature in your Anomali instance, you can review our pricing page and reach out to the sales team with any questions. The GreyNoise Malicious Feed can be an add on to any of our standard packages!
While we’re on the topic, we’d be remiss to not mention the original use case for GreyNoise in Anomali. For observables coming from other sources within Anomali, we provide additional context through enrichment that other services don’t. If you're triaging an event and using Anomali to understand the details of an observable, the GreyNoise Enrichment for Anomali provides you with all the details you need to understand if the IP has been observed performing internet-wide scanning and what it has been scanning for. It will also highlight for you if the IP belongs to a common business service from our RIOT data set, in which instance blocking that IP may break something for your users.


Our Anomali Enrichment feature also recently got an upgrade, with IP Similarity and IP Timeline now available if included in your GreyNoise Subscription. These are great tools for folks looking to for a granular view of the scanning activity observed by GreyNoise for an observable or to identify other scanning IPs that may be leveraging similar scan and attack tactics.





GreyNoise is a powerful cybersecurity solution that provides valuable context on internet-wide scan and attack data. By collecting and analyzing this data, we help organizations distinguish between targeted attacks and background noise, reducing false positives and improving security operations efficiency and overall security outcomes for every organization that uses both our Visualizer or API. Today, we'll explore the GreyNoise integrations universe, discuss how these extensions can benefit every category of security tool and service, plus explain why both vendor flexibility and community support is essential.
Cyber tools and solutions of every kind can greatly benefit from integrating with the GreyNoise API, even at the community tier. Here are a few ways that these tools can leverage GreyNoise data:

The GreyNoise integrations universe is vast and designed to support a variety of security tools and platforms. This includes Security Information and Event Management (SIEM), Extended Detection and Response (XDR), Security Orchestration, Automation, and Response (SOAR), Threat Intelligence Platforms (TIP), and Analyst Tools/Open-Source Intelligence (OSINT). You can see just how vast it is for yourself! By integrating GreyNoise into each of these solution areas, organizations can enrich their security alerts, enhance visibility, streamline operations, and make far more informed decisions.
Vendor flexibility is crucial in the cybersecurity landscape. By supporting a wide range of security tools and platforms, GreyNoise empowers organizations to tailor their security ecosystem to meet their unique needs. According to buzzword-laden analysts and experts alike, adopting an open and flexible approach to security integrations enables organizations to leverage best-of-breed solutions, maximize the value of their existing tools, and enhance overall security posture. What that truly means, though, is that GreyNoise meets you where you are at, regardless of budget cycle. When that three- or five-year contract is up on that SIEM, rest assured that it’s more than likely GreyNoise will work with that fancy new tool you spotted at RSA. GreyNoise's commitment to vendor flexibility ensures seamless integration with your preferred tools, ultimately improving your organization's security capabilities.
Integrating GreyNoise across your entire environment is highly beneficial. By incorporating GreyNoise data into all the acronyms you own — SIEM, XDR, SOAR, TIP, and OSINT — you can enrich your security alerts with valuable context, reduce false positives, improve incident response times, and centralize threat intelligence data. By leveraging GreyNoise's context across your systems and services, you can gain a more comprehensive understanding of your security landscape and make better-informed decisions to protect your organization.
Our API can help you hone in on anomalies, cast a wider net when it comes to identifying and blocking malicious sources, and provide actionable context on today’s “internet weather”.
GreyNoise has a vibrant and thriving community of practitioners, with members that collaborate on developing open-source integrations with GreyNoise. These community-driven integrations enhance the functionality of a plethora of Free and Open-Source Software (FOSS) cyber tools, demonstrating the versatility and value of GreyNoise data.
Members of the GreyNoise Community invest their time and effort into integrating GreyNoise into open-source projects for several reasons:
If you're developing or using FOSS cyber tools, consider integrating the GreyNoise API to unlock the full potential of your security solutions. Join the GreyNoise Community and collaborate with like-minded individuals to improve the cybersecurity landscape and make the internet a safer place for everyone.
Are you ready to harness the power of GreyNoise? Sign up for a free GreyNoise account and start exploring the benefits of GreyNoise integrations. Experience firsthand how GreyNoise data can enhance your security operations and threat intelligence. For organizations looking to unlock the full potential of GreyNoise, navigate to your GreyNoise account section to sign up for a free enterprise trial and begin integrating GreyNoise into your security ecosystem today. Don't miss out on the opportunity to strengthen your organization's defenses with the power of GreyNoise.


Cyber threats are constantly evolving, and organizations need to stay on top of the latest techniques and tools to protect themselves against attacks. One of the most critical aspects of this is having an effective threat intel program in place. But how do you upgrade your program to keep up with the ever-changing threat landscape? Our answer: start looking for patterns in attack telemetry.
David Bianco’s ‘Pyramid of Pain’ illustrates the relationship between the types of indicators you might use to detect an adversary's activities and how much pain it will cause them when you are able to deny those indicators to them. Organizations can better identify and defend against threats by moving from simple indicators like domains, hashes, and IPs to focusing on more difficult to change indicators such as TTPs. While gaining this additional insight can take more time, defenders can do more to detect and prevent future attacks.

GreyNoise data is awesome, but in order to move from IPs -> TTPs, we have built new features to help you upgrade your Threat Intel program (thanks to the Pyramid of Pain)!
It is now easier than ever to fingerprint attacker infrastructure. This new feature clusters activity based on similar behavior, like similar HASSH and JA3 fingerprints, RDNs, user agents, and ports scanned. Based on the results from IP Similarity, you can hunt within your own network to proactively find other related malicious activity.

The IP Timeline displays activity as seen by GreyNoise sensors of a particular IP Address over the past thirty days. By checking our timeline graph, you can see when an IP interacts with our sensors. This chron data helps CTI teams identify if an attacker is using an automated process or if the scan/attack process is manual.

Understanding how adversaries operate and adopting a defined strategy to detect and remediate can lead to a more effective threat intelligence program. GreyNoise can be used to easily enrich threat feeds to gain deeper insight into how attacker infrastructure is being used and quickly understand what services, devices, and vulnerabilities they want to leverage as part of their campaign.
If you are interested in learning more about any of these new features, request a demo.


Co-Authors include: Austin Price & Jen Dooley
For April Fools this year, the GreyNoise team created GhostieBot, an Artificial Unintelligence bot serving you all the answers you didn’t need.

We had a lot of fun creating it and thought it was a good example of the ideation, design, development, and release process at GreyNoise. Here we hope to walk you through that process so you can understand a little better how we work.
We knew we wanted to have a fun April Fools joke this year, but everyone was already working on a ton of projects to make GreyNoise a more useful product. We decided to take a group of volunteers and just grab an hour here or there to work the problem.

Our first stop was a Figma brainstorming session. Just set up some space for everyone to jot down ideas, start a 5-10 minute timer, play some smooth jazz, and go to work.

After all our ideas were gathered, we discussed them and added +1s to the ideas we liked. Since the world has been taken over by chatbots and large language models, we ultimately ended up with a GreyNoise chatbot that we could use to make jokes and expose some of the other ideas from the brainstorming session that weren’t big enough for their own show. Though you never know, the Internet Weather Report from the brainstorming session might pop up sometime…
Next up, we had to create some mocks for what we wanted the GhostieBot interface to look like. Chatbots and messaging interfaces, in general, have some pretty established patterns. To keep things as simple and quick as possible, we leaned heavily on our design system and went with a standard chat/messaging layout. There were a few new elements in the design, like the message bubbles and Ghostie avatar, that we needed to create. We also needed to make sure it was responsive and handled small and large screens well. Altogether, these were pretty simple items, and we were able to have the finished mockups ready in under an hour.
Since our chatbot is not a real chatbot, we had to actually come up with the responses we wanted, arguably a tougher task than creating a real chatbot. Luckily, we have a ton of nerds on staff who like terrible jokes. After spinning up a quick Notion page, we were able to crowdsource some ideas.

Now it is time to make it all real; we took the mock-ups, created a new page, and started building. We compiled the list of questions and properly formatted them for display. Then built out the basic structure of a chat interface; once that was set up, we added a few nice to haves:
Once the interface was completed, we hid the Chat behind a feature flag as well as set a date window for the chat to be available to the public. This allowed us to test the chat before it went live.
And while we went with a more informative page for 127.0.0.1, y’all almost ended up with:

We had a ton of fun putting this all together, and we hope you enjoyed it too. To keep in touch with GreyNoise as we figure out how to build an amazing product for the cyber security community, sign up for a free account (https://viz.greynoise.io/signup), join our Slack community (greynoiseintel.slack.com) and follow us on Twitter https://twitter.com/GreyNoiseIO. We also have a couple of positions open (https://www.greynoise.io/careers#Current-Openings).

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