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Analyze » SolarWinds » COLSOLYAHCHA1784557988

Incident Score: Analysis & Impact (COLSOLYAHCHA1784557988)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-160
Company Score Before Incident764 / 1000
Company Score After Incident604 / 1000
INCIDENT NUMBERCOLSOLYAHCHA1784557988
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED3 billion user accounts
INCIDENT DATE31/12/1998
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of SolarWinds's Breach 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 SolarWinds 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 SolarWinds breach identified under incident ID COLSOLYAHCHA1784557988.

The analysis begins with a detailed overview of SolarWinds's information like the linkedin page: https://www.linkedin.com/company/solarwinds, the number of followers: 323071, the industry type: Software Development and the number of employees: 2853 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 764 and after the incident was 604 with a difference of -160 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 SolarWinds and their customers.

Yahoo recently reported "Yahoo Data Breach", a noteworthy cybersecurity incident.

Compromised 3 billion user accounts, one of the largest breaches by volume.

The disruption is felt across the environment, and exposing 3 billion user accounts, with nearly 3 billion records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating solarWinds such as supply chain attack via compromised software updates, Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating mOVEit Transfer such as zero-day exploit in file-transfer software, and Phishing (T1566) with moderate confidence (60%), supported by evidence indicating attackers leveraging AI to refine phishing campaigns. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating yahoo Data Breach such as 3 billion user accounts compromised and Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating oPM Data Breach such as exposed sensitive records of 21.5M federal employees. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating yahoo Data Breach such as 3B user accounts, high sensitivity data compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating oPM Data Breach such as background check data exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating solarWinds such as infiltrated U.S. government agencies, data exfiltration implied and Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (70%), supported by evidence indicating mOVEit Transfer such as widespread data theft via file-transfer exploit. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating colonial Pipeline such as ransomware attack forced shutdown of fuel pipeline, Defacement (T1491) with moderate confidence (50%), supported by evidence indicating wannaCry such as disrupted hospitals, businesses, and government agencies, and Endpoint Denial of Service (T1499) with moderate to high confidence (70%), supported by evidence indicating notPetya such as caused $10B in global damages, crippling operations. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating attackers using AI to generate polymorphic malware and Hijack Execution Flow (T1574) with high confidence (90%), supported by evidence indicating solarWinds such as compromised software updates for supply chain attack. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Exploit Public-Facing Application (70%)
Phishing (60%)
Credential Access
Brute Force (50%)
Unsecured Credentials (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Alternative Protocol (70%)
Impact
Data Encrypted for Impact (90%)
Defacement (50%)
Endpoint Denial of Service (70%)
Defense Evasion
Obfuscated Files or Information (80%)
Hijack Execution Flow (90%)