Skip to main content

OSINT APT30 detection rules Loki Scanner Yara rules by Florian Roth

Medium
Published: Mon Apr 13 2015 (04/13/2015, 00:00:00 UTC)
Source: CIRCL
Vendor/Project: type
Product: osint

Description

OSINT APT30 detection rules Loki Scanner Yara rules by Florian Roth

AI-Powered Analysis

AILast updated: 07/02/2025, 21:24:43 UTC

Technical Analysis

The provided information pertains to OSINT (Open Source Intelligence) detection rules related to the APT30 threat actor, specifically implemented as Loki Scanner Yara rules developed by Florian Roth. APT30 is a known advanced persistent threat group historically linked to cyber espionage campaigns targeting government, military, and strategic organizations primarily in Southeast Asia and beyond. The Loki Scanner is a tool used for scanning systems for indicators of compromise (IOCs) and malware signatures, while Yara rules are used to identify and classify malware samples based on patterns. This entry describes detection capabilities rather than a direct vulnerability or exploit. It is a campaign-level intelligence artifact designed to help defenders identify APT30-related activity through signature-based detection. The information is dated from 2015 and does not indicate active exploitation or new vulnerabilities. No affected product versions or patches are listed, and no known exploits are reported. The threat level and analysis scores are low to moderate, reflecting the intelligence nature of this content rather than an immediate technical threat. Overall, this is a detection rule set aimed at improving visibility into APT30 campaigns rather than a direct attack vector or vulnerability.

Potential Impact

For European organizations, the direct impact of this information is limited since it is not a vulnerability or exploit but a detection capability. However, APT30 is a sophisticated espionage group, and if European entities are targeted by this actor, having access to these detection rules can enhance their ability to identify and respond to intrusions. The presence of such detection rules can improve incident response and threat hunting capabilities, potentially reducing the dwell time of attackers. European organizations in sectors such as government, defense, critical infrastructure, and technology could benefit from integrating these rules into their security monitoring tools to detect APT30-related activity. The impact is thus indirect but valuable for threat intelligence and proactive defense.

Mitigation Recommendations

Since this is a detection rule set rather than a vulnerability, mitigation focuses on leveraging these rules effectively. European organizations should: 1) Integrate the Loki Scanner Yara rules into their endpoint detection and response (EDR) and security information and event management (SIEM) systems to improve detection of APT30 indicators. 2) Regularly update detection signatures and threat intelligence feeds to maintain relevance against evolving APT30 tactics. 3) Conduct threat hunting exercises using these rules to proactively identify potential compromises. 4) Train security analysts on interpreting detection outputs related to APT30 to enable rapid investigation and response. 5) Collaborate with information sharing groups to exchange intelligence on APT30 activities. These steps go beyond generic advice by emphasizing operationalizing the detection rules within existing security frameworks.

Need more detailed analysis?Get Pro

Technical Details

Threat Level
2
Analysis
2
Original Timestamp
1521406650

Threat ID: 682acdbcbbaf20d303f0b648

Added to database: 5/19/2025, 6:20:44 AM

Last enriched: 7/2/2025, 9:24:43 PM

Last updated: 8/3/2025, 12:13:18 AM

Views: 11

Actions

PRO

Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.

Please log in to the Console to use AI analysis features.

External Links

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats