OSINT APT30 detection rules Loki Scanner Yara rules by Florian Roth
OSINT APT30 detection rules Loki Scanner Yara rules by Florian Roth
AI Analysis
Technical Summary
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.
Affected Countries
United Kingdom, Germany, France, Italy, Netherlands, Belgium, Poland
OSINT APT30 detection rules Loki Scanner Yara rules by Florian Roth
Description
OSINT APT30 detection rules Loki Scanner Yara rules by Florian Roth
AI-Powered Analysis
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.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
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
Related Threats
ThreatFox IOCs for 2025-08-16
MediumElastic EDR 0-day: Microsoft-signed driver can be weaponized to attack its own host
MediumEncryptHub abuses Brave Support in new campaign exploiting MSC EvilTwin flaw
MediumThreatFox IOCs for 2025-08-15
MediumThe Hidden Infrastructure Behind VexTrio's TDS
MediumActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.