Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

10 detections

Detects network traffic containing a potentially malicious Microsoft Excel (.xlsx) OOXML file being downloaded. The rule identifies the presence of the 'Content-Disposition' header with an '.xlsx' extension, combined with a file signature matching the ZIP format (often used by OOXML files) and a file size exceeding 500KB, which may indicate an attempt to exploit CVE-2025-60727.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
007
Detects network traffic containing a potentially malicious Microsoft Excel (.xlsx) OOXML file being downloaded. The rule identifies the presence of the 'Content-Disposition' header with an '.xlsx' extension, combined with a file signature matching the ZIP format (often used by OOXML files) and a file size exceeding 500KB, which may indicate an attempt to exploit CVE-2025-60727.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
006
Detects SMTP traffic containing XLSX file attachments, specifically looking for base64 encoded content that matches the criteria for CVE-2025-60727. This rule monitors network traffic for the delivery of potential malicious Office documents.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
004
This rule detects outbound HTTP traffic generated by the WinHTTP library, specifically when the User-Agent identifies as WinHttp.WinHttpRequest. This pattern is indicative of potential post-exploitation activity, such as command-and-control communication or data exfiltration, originating from a process associated with an exploited Excel document (CVE-2025-60727).
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
004
Detects SMTP traffic containing XLSX file attachments, specifically looking for base64 encoded content that matches the criteria for CVE-2025-60727. This rule monitors network traffic for the delivery of potential malicious Office documents.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
004
Detects instances where the Excel process (excel.exe) initiates outbound network connections to non-private IP addresses on specific ports often associated with command and control or data exfiltration. This rule specifically excludes known Microsoft-owned CDN and update infrastructure, aiming to identify potential exploitation activity, such as that potentially associated with CVE-2025-60727.
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Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
003
This rule detects outbound HTTP traffic generated by the WinHTTP library, specifically when the User-Agent identifies as WinHttp.WinHttpRequest. This pattern is indicative of potential post-exploitation activity, such as command-and-control communication or data exfiltration, originating from a process associated with an exploited Excel document (CVE-2025-60727).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects Microsoft Excel (excel.exe) spawning child processes commonly used in post-exploitation scenarios, such as command shells, scripting interpreters, and living-off-the-land binaries. This behavior is indicative of potential exploitation of vulnerabilities like CVE-2025-60727 to achieve remote code execution.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects instances where the Excel process (excel.exe) initiates outbound network connections to non-private IP addresses on specific ports often associated with command and control or data exfiltration. This rule specifically excludes known Microsoft-owned CDN and update infrastructure, aiming to identify potential exploitation activity, such as that potentially associated with CVE-2025-60727.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects Microsoft Excel (excel.exe) spawning child processes commonly used in post-exploitation scenarios, such as command shells, scripting interpreters, and living-off-the-land binaries. This behavior is indicative of potential exploitation of vulnerabilities like CVE-2025-60727 to achieve remote code execution.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000