Full Report
This report provides statistics on the number of new ransomware samples, number of targeted systems, and targeted companies collected in February 2025, as well as major Korean and international ransomware issues worth noting. Below are the summarized details. The number of ransomware samples and number of damaged systems is based on the detection names […]
Analysis Summary
The provided article is a **statistical high-level summary of ransomware trends during February 2025** (new samples, targeted systems, and targeted companies via DLS postings). It does **not** detail a single specific security incident with a verifiable timeline, specific attack vectors, or response actions taken by a victim organization.
Therefore, the report will reflect the nature of the input source—a threat intelligence summary—rather than a post-incident analysis of a breach.
# Incident Report: February 2025 Ransomware Landscape Summary
## Executive Summary
This report summarizes general ransomware activity observed in February 2025, noting a slight decrease in the volume of new ransomware samples compared to January. The analysis tracks targeted companies based on disclosures on Dedicated Leak Sites (DLS) by various ransomware groups. No specific organizational compromise or detailed incident response timeline is provided in this summary.
## Incident Details
- Discovery Date: Data collection period ending February 2025
- Incident Date: February 2025 activity analyzed
- Affected Organization: Not applicable (General threat overview)
- Sector: All sectors targeted globally (based on DLS statistics)
- Geography: Global (Based on collected statistics)
## Timeline of Events
*Note: This section reflects reporting periods, not a specific breach timeline.*
### Initial Access
- Date/Time: Ongoing throughout February 2025
- Vector: Not specified (General ransomware threat landscape)
- Details: Ransomware groups actively sought initial access, leading to DLS postings.
### Lateral Movement
- Not detailed in the summary.
### Data Exfiltration/Impact
- Details based on figures reported on DLS by various ransomware groups (specific victims not detailed here).
### Detection & Response
- Detection based on AhnLab signature collection and monitoring of ransomware DLS infrastructure.
- Response actions data is not applicable, as this is a threat summary.
## Attack Methodology
*Note: Specific methodologies for the summarized samples are generalized based on typical ransomware lifecycle, as the article focuses on statistics, not process.*
- Initial Access: Implied via techniques deployed by monitored ransomware families.
- Persistence: Not detailed.
- Privilege Escalation: Not detailed.
- Defense Evasion: Not detailed.
- Credential Access: Not detailed.
- Discovery: Not detailed.
- Lateral Movement: Not detailed.
- Collection: Data collection efforts leading to DLS postings.
- Exfiltration: Data exfiltration techniques implied by DLS presence.
- Impact: Encryption/extortion leading to DLS postings.
## Impact Assessment
- Financial: Not quantified.
- Data Breach: Indicated by the existence of DLS postings, though specific data types are not listed.
- Operational: Not detailed for any specific victim.
- Reputational: Potential impact on organizations listed on DLS.
## Indicators of Compromise
*Note: Only MD5 hashes of associated samples were provided in the source article.*
- Network indicators: None provided (defanged).
- File indicators:
- MD5: `08e76dd242e64bb31aec09db8464b28f`
- MD5: `0c756fc8f34e409650cd910b5e2a3f00`
- MD5: `15cdfa777aa2db35229410d2fa9fb92e`
- MD5: `36171704cde087f839b10c2465d864e1`
- MD5: `7be61ea851f894d26bf57cf0f1f55ed6`
- Behavioral indicators: Not detailed.
## Response Actions
- Containment measures: Not detailed for specific incidents.
- Eradication steps: Not detailed for specific incidents.
- Recovery actions: Not detailed for specific incidents.
## Lessons Learned
- **Volume Fluctuation:** The slight decrease in new samples from January to February suggests ongoing, albeit dynamic, adversary activity.
- **Reliance on DLS:** The continued use of DLS for publicizing victims remains a primary pressure point used by threat actors.
## Recommendations
- **Threat Intelligence Fusion:** Organizations should integrate signature-based detection (like AhnLab feeds) with external threat intelligence focusing on active DLS activity.
- **Review Sample Signatures:** Security teams should manually review threat feeds for associated file artifacts (MD5s provided) for proactive hunting if these samples are active in the environment.