Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » SailPoint » SAI1778509868

Incident Score: Analysis & Impact (SAI1778509868)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-57
Company Score Before Incident729 / 1000
Company Score After Incident672 / 1000
Company LinkView SailPoint Profile
INCIDENT NUMBERSAI1778509868
Type of Cyber IncidentBreach
ATTACK VECTORThird-party application vulnerability
DATA EXPOSEDSubset of GitHub repositories
INCIDENT DATE19/04/2026
STATUSCompleted (no evidence of customer data access or service disruption)

Key Highlights From The Incident Analysis

  • Timeline of SailPoint'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 SailPoint 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 SailPoint breach identified under incident ID SAI1778509868.

The analysis begins with a detailed overview of SailPoint's information like the linkedin page: https://www.linkedin.com/company/sailpoint-technologies, the number of followers: 169757, the industry type: Software Development and the number of employees: 3404 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 729 and after the incident was 672 with a difference of -57 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 SailPoint and their customers.

On 20 April 2026, SailPoint disclosed Unauthorized Access issues under the banner "SailPoint GitHub Repository Breach".

Identity management provider SailPoint reported a cybersecurity incident involving unauthorized access to a subset of its GitHub repositories.

The disruption is felt across the environment, affecting GitHub repositories, and exposing Subset of GitHub repositories.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Terminated unauthorized activity, and began remediation that includes Addressed third-party application vulnerability, and stakeholders are being briefed through SEC filing, customer notifications.

The case underscores how Completed (no evidence of customer data access or service disruption), with advisories going out to stakeholders covering Affected customers notified if their information was stored in compromised repositories.

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%), with evidence including vulnerability in a third-party application, and compromise stemmed from a vulnerability in a third-party application and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to a subset of its GitHub repositories. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate confidence (60%), supported by evidence indicating access to a subset of its GitHub repositories. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating unauthorized access to a subset of its GitHub repositories. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no evidence that customer data...was accessed (implies potential exfiltration attempt) and Exfiltration Over C2 Channel (T1041) with lower confidence (40%), supported by evidence indicating unauthorized access to repositories (possible exfiltration vector). Under the Defense Evasion tactic, the analysis identified Modify Cloud Compute Infrastructure (T1578) with moderate confidence (60%), supported by evidence indicating terminated the unauthorized activity and resolved the issue. 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%)
Lateral Movement
Remote Services (60%)
Collection
Data from Information Repositories (80%)
Exfiltration
Transfer Data to Cloud Account (50%)
Exfiltration Over C2 Channel (40%)
Defense Evasion
Modify Cloud Compute Infrastructure (60%)

Sources & References