Incident Score: Analysis & Impact (MINPREREC1768390463)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of RECOLECC's Ransomware and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts RECOLECC Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the RECOLECC breach identified under incident ID MINPREREC1768390463.
The analysis begins with a detailed overview of RECOLECC's information like the linkedin page: https://www.linkedin.com/company/recolecc-peru, the number of followers: 8279, the industry type: Business Consulting and Services and the number of employees: 14 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 749 and after the incident was 635 with a difference of -114 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on RECOLECC and their customers.
On 29 March 2024, Peru Government (gob.pe) disclosed Ransomware issues under the banner "Rhysida Ransomware Attack on Peru Government Digital Platform".
Peru’s government denied claims that its federal digital platform was taken over by the Rhysida ransomware gang, which demanded a 5 bitcoin ransom.
The disruption is felt across the environment, affecting Tax administration website of Piura, and exposing Documents allegedly stolen from gob.pe.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Preventive alerts activated by the National Digital Security Department (CNSD), while recovery efforts such as Service restored in 48 hours continue, and stakeholders are being briefed through Official statements warning citizens to rely only on government sources.
The case underscores how Ongoing, and recommending next steps like State-level entities must report cyber incidents to the National Centre for Digital Security; citizens should rely only on official government sources for information, with advisories going out to stakeholders covering State-level entities urged to report cyber incidents to the National Centre for Digital Security.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating attack on the tax administration website of the regional capital, Piura and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating rhysida gang targeting governments worldwide, including Peru. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate confidence (60%), supported by evidence indicating disrupted operations for 48 hours before services were restored. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating rhysida gang shared documents allegedly stolen from Peru’s systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating documents allegedly stolen from gob.pe. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating rhysida gang posted on its leak site demanding ransom for stolen documents. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating ransomware attack disrupted operations for 48 hours and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating attack on the tax administration website of Piura. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (60%), supported by evidence indicating rhysida gang’s leak site used for ransom demands. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- RECOLECC Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/recolecc-peru/incident/MINPREREC1768390463
- RECOLECC CyberSecurity Rating page: https://www.rankiteo.com/company/recolecc-peru
- RECOLECC Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/minprerec1768390463-ministry-of-government-and-digital-transformation-of-peru-presidency-of-the-council-of-ministers-of-peru-tax-administration-service-in-piura-ransomware-march-2025/
- RECOLECC CyberSecurity Score History: https://www.rankiteo.com/company/recolecc-peru/history
- RECOLECC CyberSecurity Incident Source: https://therecord.media/peru-rhysida-ransomware-claims-denied
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf