This detection identifies potential anomalies or tampering within PEM-formatted certificate files that may indicate an adversary attempting to manipulate trust chains or inject malicious code. A proactive hunt is essential in Azure Sentinel to uncover subtle supply chain compromises or credential theft scenarios that standard signature-based alerts might overlook, ensuring the integrity of the organization’s PKI infrastructure remains uncompromised.
rule PEMangle
{
meta:
author="malware-lu"
strings:
$a0 = { 60 9C BE [4] 8B FE B9 [4] BB 44 52 4F 4C AD 33 C3 }
condition:
$a0 at pe.entry_point
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the PEMangle detection rule, along with suggested filters or exclusions tailored for an enterprise environment:
Scenario: Automated Certificate Renewal by Certbot/Let’s Encrypt
.pem files (or creating new ones) in the /etc/letsencrypt/live/ directory. This file manipulation can trigger the PEMangle rule if the YARA signature detects structural anomalies during the write operation.certbot, acme.sh, or openssl running from the standard installation path (e.g., /usr/bin/certbot) when accessing files within the letsencrypt directory tree.Scenario: CI/CD Pipeline Artifact Generation
.pem keys for containerization and secure artifact signing. These builds often run in ephemeral containers where file I/O patterns differ from standard production workloads, causing the YARA rule to flag transient files as anomalies.java, node, or specific runner binaries like gitlab-runner) and limit detection scope to exclude paths containing /tmp/builds or .github/workflows.Scenario: Scheduled Database Backup Encryption
.pem format before compressing data. The rapid creation and deletion of these files during the scheduled maintenance window can mimic the behavior of a malicious certificate injection attack.