
Daniel Jeremiah
@daniyyellUnited KingdomTrusted contributorCompletionist
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Intellexa PREYHUNTER - HTTP
Suricata
Intellexa PREYHUNTER - HTTP response contains distinctive iOS build/artifact strings
This rule is meant to help analysts quickly spot a high-confidence indicator related to Google ShinyHunters SaaS Defense Guidance. It is written to be easy to understand and to keep false alarms low by focusing on a very specific match: AWS CLI performing S3 sync or copy commands that can be used for bulk export. 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/defense-against-shinyhunters-cybercrime-saas) to document where the indicator came from and to support incident notes and reporting.
COLDRIVER ROBOT chain - DNS lookup for TI delivery/C2 domains
This rule detects potential indicators of compromise related to CVE-2026-20127 in Cisco Catalyst SD-WAN systems. It focuses on two main areas: 1) suspicious successful SSH authentications for the 'vmanage-admin' account, and 2) SD-WAN control plane connection events indicating a new 'up' state. The first part looks for specific log entries related to publickey authentication for 'vmanage-admin' from any source IP. The second part identifies control connection state changes to 'up' and extracts peer type, peer system IP, and public IP from the raw logs. The rule aims to surface events that require human confirmation by comparing them against known network designs and change records, as these events can indicate unexpected relationships between devices or unauthorized privileged access.
Detects signs that VS Code or Cursor were used to run unwanted commands by monitoring changes to `.vscode\tasks.json` or `.cursor\tasks.json`, and identifying cases where the IDE starts a shell or download tool with suspicious download links or script execution patterns. It also includes a network pivot to link related staging URLs to host activity and possible payload delivery.
UNC5142 CLEARSHORT - injected Web3 + BSC contract addresses in HTTP response
Detects execution of AnyDesk on Windows endpoints. Adversaries may use legitimate remote access tools to obtain interactive access and to maintain persistence after initial compromise.
This rule set detects various activities associated with the Dohdoor malware campaign (UAT-10027). It includes detection for known malware hashes, suspicious network communication patterns such as DNS over HTTPS (DoH) to Cloudflare with specific user agents, staging URL patterns, and odd-cased infrastructure domains. Additionally, it identifies endpoint activities like curl downloading batch/command files and DLL sideloading attempts using specific DLL names and LOLBins executed from common public writeable directories. The intent is to provide strong leads for investigation into potential Dohdoor infections.
Hunts for the specific UNC5142 EtherHiding/CLEARSHORT JavaScript patterns and BSC contract addresses published in the referenced report. This is a high-fidelity content match that is intended for scanning suspicious HTML/JS blobs recovered from compromised web content, web proxies that store bodies, or forensic collections.
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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