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Analyze » SolarWinds » SOL1770194061

Incident Score: Analysis & Impact (SOL1770194061)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-4
Company Score Before Incident572 / 1000
Company Score After Incident568 / 1000
INCIDENT NUMBERSOL1770194061
Type of Cyber IncidentVulnerability
ATTACK VECTORUnauthenticated remote exploitation
DATA EXPOSEDSensitive IT ticketing data
INCIDENT DATE03/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of SolarWinds's Vulnerability 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 SOL1770194061.

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: 294900, the industry type: Software Development and the number of employees: 2823 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 572 and after the incident was 568 with a difference of -4 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.

SolarWinds recently reported "Critical RCE Vulnerability in SolarWinds Web Help Desk", a noteworthy cybersecurity incident.

A severe remote code execution (RCE) vulnerability, CVE-2025-40551, has been identified in SolarWinds Web Help Desk, posing a major risk to organizations using the platform.

The disruption is felt across the environment, affecting SolarWinds Web Help Desk instances, and exposing Sensitive IT ticketing data.

In response, moved swiftly to contain the threat with measures like Isolating unpatched systems from internet exposure and Discontinuing use if mitigations cannot be implemented, and began remediation that includes Applying the latest SolarWinds patches immediately.

The case underscores how teams are taking away lessons such as The flaw highlights the ongoing threat posed by deserialization vulnerabilities in enterprise software, particularly those that bypass authentication, and recommending next steps like Prioritize patching and Investigate affected systems for potential breaches.

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 high confidence (90%), with evidence including severe remote code execution (RCE) vulnerability, CVE-2025-40551, and target exposed instances directly without credentials. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), supported by evidence indicating execute arbitrary commands on vulnerable systems without authentication. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating persistent backdoor access. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating arbitrary command execution on vulnerable systems. Under the Defense Evasion tactic, the analysis identified Exploitation for Defense Evasion (T1211) with moderate to high confidence (80%), supported by evidence indicating unsafe deserialization of untrusted data (CWE-502). Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (80%), supported by evidence indicating lateral movement within networks. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating compromise of sensitive IT ticketing data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating compromise of sensitive IT ticketing data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (60%), supported by evidence indicating malware deployment (including ransomware) and Resource Hijacking (T1496) with moderate confidence (50%), supported by evidence indicating arbitrary command execution. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Execution
Exploitation for Client Execution (90%)
Persistence
External Remote Services (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Exploitation for Defense Evasion (80%)
Lateral Movement
Exploitation of Remote Services (80%)
Collection
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Encrypted for Impact (60%)
Resource Hijacking (50%)

Sources & References