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Daniel Jeremiah

@daniyyell
United KingdomTrusted contributorCompletionist
8 followers4,600 downloads2,430 copies68 likes128,312 views

978 detections

Detects creation or modification of repository controlled Claude Code project configuration files (.claude/settings.json or .mcp.json) which were abused for code execution and token exfiltration.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
0040
Detects a Java process starting certutil to download a file from the internet. This is unusual for a message broker and can indicate a server has been taken over and is pulling down a payload.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
2066
This detection is designed to help you find activity related to Triofox CVE-2025-12480 (Host header localhost). It is based on the specific threat intelligence in the reference, so it focuses on concrete, easy-to-verify signals rather than vague patterns. It uses exact indicators and tightly scoped behaviors described in the referenced threat intelligence. A match does not automatically prove a compromise, and it does not prove the activity was successful, but it is a strong reason to investigate because the signal lines up with published reporting. When this fires, start by confirming which host, account, or server produced the event and whether the behavior is expected for that system. If it is not expected, preserve the relevant logs and files, check for repeated attempts over time, and look for nearby signs such as new admin accounts, unusual remote access, or suspicious downloads. Treat a match as a scoping signal and pivot to other telemetry around the same host, account, and time window. Use the reference link to document why you treated the alert as significant and to support incident notes.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
0030
This rule detects behavior associated with the Dohdoor campaign. It looks for either `curl.exe` executing with command-line arguments containing `.bat` or `.cmd`, or specific LOLBINs (`Fondue.exe`, `mblctr.exe`, `ScreenClippingHost.exe`) running from `ProgramData` or `Users\Public` directories with command-line arguments indicative of C2 communication (e.g., `/111111?sub=s`, `/111111?sub=d`, `/X111111`). This combination of activities suggests potential DLL sideloading and subsequent C2 communication, which is unusual in normal business operations.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
1039
This rule helps identify suspicious repository files that may try to run code automatically when a developer opens a project in an editor or when a build starts. It searches for the exact wording used by the editor to auto run tasks when a folder is opened, and it also looks for a set of web addresses published in public reporting that were used to deliver additional code. A match does not always mean the repository is malicious, but it does mean the file deserves careful review before it is executed on a developer machine. If you see a hit, confirm the repository source, check for unexpected scripts or obfuscated code, and review recent network traffic for connections to the listed staging sites. If the repository is not clearly trusted, isolate the environment, remove the project from production developer workstations, and rotate any secrets that may have been available. This rule is meant to provide a clear and understandable safety check for teams that regularly clone and run new code.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
0043
This detection identifies activity related to .NET Process Hollowing, specifically focusing on the use of InstallUtil.exe as the target process. It triggers when InstallUtil.exe attempts to access a source image located in a user's AppData or Temp directory, with a file extension of .exe or .bin. This behavior is indicative of a specific threat intelligence report detailing process hollowing techniques involving InstallUtil.exe. A match suggests a strong reason for investigation, as it aligns with published threat reporting, though it does not confirm compromise or success of the activity.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
0029
Detects archiving of OpenClaw workspace data which may contain plaintext conversations and secrets, consistent with collection and staging for exfiltration.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
0037
This rule detects activity associated with UNC6201 exploiting Dell RecoverPoint VM (CVE-2026-22769), which involves the SLAYSTYLE/BRICKSTORM/GRIMBOLT malware. It identifies attempts to deploy WAR files via Tomcat Manager, suspicious WAR file uploads or modifications in Tomcat directories on Linux appliances, modifications to a persistence script named 'convert_hosts.sh', network communication with a GRIMBOLT C2 endpoint (149.248.11.71), and specific file hashes linked to the threat actor.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
6063
This rule is meant to help analysts quickly spot a high-confidence indicator related to Google NetNTLMv1 Deprecation RainbowTables. It is written to be easy to understand and to keep false alarms low by focusing on a very specific match: a Windows logon event that explicitly shows LM or NTLMv1 as the package used. A match does not automatically prove an attacker is currently active, and it does not prove a file was executed, but it does mean the event is important because it lines up with a public threat intelligence source. When this triggers, start by identifying the host, user, and timeframe involved, then decide whether the activity is expected for that system. If it is unexpected, preserve the related logs and any files, and look for nearby events that could explain how the indicator appeared, such as a download, a new process, or a new connection. If the same indicator appears on multiple systems, treat it as a scoping signal and expand the investigation window. Use the reference link (https://cloud.google.com/blog/topics/threat- intelligence/net-ntlmv1-deprecation-rainbow-tables) to document where the indicator came from and to support incident notes and reporting.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
0033
Detects files with hashes reported as the ransomware payload in the incident report.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
9 months ago
10042
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