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Ankit Mehta

@Secvyn
IndiaTrusted contributorCompletionist
8 followers9,573 downloads10,241 copies160 likes55,497 views

8,655 detections

Detects web application processes accessing .env files shortly after execution activity. Bissa Scanner harvested environment files immediately after successful exploitation to collect secrets and credentials.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
206
Detects repeated file-system enumeration activity across a host. Huntress observed RedCurl conducting extensive file discovery before staging and exfiltrating sensitive corporate data.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
006
This rule detects network connections or DNS queries made to the domain 'data-seed-prebsc-1-s1.binance.org'. This domain is associated with the Binance Smart Chain testnet. Connections to such domains from enterprise environments might indicate unauthorized cryptocurrency-related activities, potential malware beaconing, or other policy violations.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
006
This rule detects a pattern indicative of password spraying or brute force attacks against user accounts. It identifies instances where a single user principal name (UPN) and IP address combination has at least 5 failed sign-in attempts and at least 1 successful sign-in attempt within a 30-minute window. This combination of failed and successful logins from the same source for the same user suggests an attacker successfully guessed a password after multiple attempts, or a password spraying attack where one of the sprayed passwords was correct.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
209
This rule detects potential HTTP/2 Rapid Reset or similar denial-of-service (DoS) attacks by identifying an unusually high number of streams and total requests within a single HTTP/2 network connection over a one-minute interval. Such behavior is indicative of an attacker attempting to exhaust server resources by rapidly opening and closing streams.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
209
Detects commands referencing known C0XMO payload locations while interacting with cron jobs or shell startup files. This behavior may indicate an attempt to maintain persistence across system reboots.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
103
Detects Python or pip processes installing libraries associated with C0XMO botnet activity, specifically paramiko and beautifulsoup4. These packages are commonly used by the malware for SSH-based propagation, reconnaissance, and automated scanning.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
103
Detects creation of multiple archives in a short period. GammaSteel commonly stages collected documents into archives before exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
205
Detects archive creation immediately followed by substantial outbound communications, consistent with credential collection and exfiltration workflows observed in the Bissa operation.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
105
This rule detects suspicious GitHub workflow modifications or pushes originating from multiple distinct IP addresses within a short time frame (1 hour). It specifically looks for 'WorkflowCreated', 'WorkflowUpdated', or 'Push' actions on GitHub, and triggers if more than one such event and more than one distinct IP address are observed for a given account within an hour. This could indicate compromised credentials or unauthorized access to a GitHub account being used to manipulate CI/CD pipelines.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
008
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