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Mehulkumar Savajani

@Msavajani
Completionist
5 followers477 downloads1,508 copies62 likes18,115 views

97 detections

Detects the creation of suspicious child processes (e.g., shells, network tools) by a Node.js or Next.js server process. This could indicate successful remote code execution, potentially related to vulnerabilities like React2Shell (CVE-2025-55182).
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
582747
Detects multiple large POST requests to Next.js or React Server Component (RSC) endpoints from the same source IP. This pattern can indicate attempts to exploit unsafe deserialization vulnerabilities like React2Shell (CVE-2025-55182) by sending a crafted, oversized payload.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
444430
Detects potential exploitation attempts against Next.js applications vulnerable to CVE-2025-66478 (React2shell). The rule looks for POST requests to Next.js Server Action endpoints with an unusually large request body, which may indicate a malicious payload designed to trigger a deserialization RCE.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
310464
Detects potential exploitation attempts against Next.js applications vulnerable to CVE-2025-66478 (React2shell). The rule looks for POST requests to Next.js Server Action endpoints with an unusually large request body, which may indicate a malicious payload designed to trigger a deserialization RCE.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
590667
Detects the creation of an unusually large 'bun_environment.js' file (>= 9MB). This is a characteristic of the Shai-Hulud 2.0 worm which uses extreme obfuscation, resulting in a massive payload file.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
170261
Detects the creation of a persistent GitHub self-hosted runner named 'SHA1HULUD', a technique used by the Shai-Hulud 2.0 malware for persistence and remote command execution. The rule specifically looks for process command lines containing " --name SHA1HULUD".
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
261256
Detects the creation or modification of files with SHA256 hashes known to be associated with the Shai-Hulud 2.0 npm supply chain attack campaign. This rule specifically looks for file creation or renaming events where the SHA256 hash of the file matches a predefined list of malicious hashes.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
320250
Detects network connections to a specific webhook.site URL known to be used by the Shai-Hulud worm for data exfiltration. The rule specifically looks for the URI path 'bb8ca5f6-4175-45d2-b042-fc9ebb8170b7' on webhook.site, which is a strong indicator of this particular threat.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
220246
Detects attempts to exploit a path traversal vulnerability (CVE-2025-64446) in FortiWeb. Attackers send a crafted POST request to create a new administrative user by targeting a specific URI and including keywords in the request body indicative of new admin creation.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
60101
Detects the creation of a new administrative account with 'prof_admin' privileges on a FortiWeb device from an unknown IP address. This activity is highly suspicious if not performed by a known administrator and could indicate post-exploitation activity, potentially related to CVE-2025-64446.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
5185
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