Incident Score: Analysis & Impact (NIGCIS1779216319)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Cybersecurity and Infrastructure Security Agency'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 Cybersecurity and Infrastructure Security Agency 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 Cybersecurity and Infrastructure Security Agency breach identified under incident ID NIGCIS1779216319.
The analysis begins with a detailed overview of Cybersecurity and Infrastructure Security Agency's information like the linkedin page: https://www.linkedin.com/company/cisagov, the number of followers: 598835, the industry type: Government Administration and the number of employees: 1729 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 339 and after the incident was 276 with a difference of -63 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 Cybersecurity and Infrastructure Security Agency and their customers.
U.S. Cybersecurity and Infrastructure Security Agency (CISA) recently reported "CISA Suffers Major Data Leak via Exposed GitHub Repository", a noteworthy cybersecurity incident.
A public GitHub repository named 'Private-CISA' exposed highly sensitive internal credentials and systems belonging to the U.S.
The disruption is felt across the environment, affecting CISA/DHS infrastructure, AWS GovCloud, internal Artifactory repository, Landing Zone DevSecOps (LZ-DSO), and exposing Highly sensitive internal credentials and systems, including AWS GovCloud administrative credentials, access keys, plaintext usernames/passwords, SSH keys, and authentication details.
In response, moved swiftly to contain the threat with measures like Repository locked down after researchers alerted CISA, and began remediation that includes Additional safeguards implemented to prevent future breaches, and stakeholders are being briefed through CISA acknowledged the incident and stated there was 'no indication that any sensitive data was compromised'.
The case underscores how Ongoing, teams are taking away lessons such as Exposure of internal practices for software deployment highlights operational security risks within federal agencies; need for stricter access controls and repository configurations, and recommending next steps like Implement stricter access controls for public repositories, enforce multi-factor authentication for sensitive systems, conduct regular audits of exposed credentials, and enhance monitoring for unauthorized access.
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 Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), with evidence including aWS access keys and tokens (including a file labeled importantAWStokens), and cSV file (AWS-Workspace-Firefox-Passwords.csv) with stored login credentials and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.001) with moderate to high confidence (80%), with evidence including repository maintained by government contractor Nightwing, and credentials for CISA’s Landing Zone DevSecOps (LZ-DSO). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (100%), with evidence including plaintext usernames and passwords for internal CISA systems, cSV file with stored login credentials, and aWS GovCloud administrative credentials and Unsecured Credentials: Private Keys (T1552.004) with high confidence (90%), supported by evidence indicating sSH keys and authentication details for CISA/DHS infrastructure. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating aWS GovCloud administrative credentials for three accounts exposed and Compromise Client Software Binary (T1554) with moderate confidence (60%), supported by evidence indicating access credentials for an internal Artifactory software repository. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), with evidence including aWS GovCloud administrative credentials, and plaintext usernames and passwords for internal CISA systems. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating exposure revealed internal practices for how CISA builds and deploys software. Under the Discovery tactic, the analysis identified Cloud Service Discovery (T1526) with moderate to high confidence (80%), supported by evidence indicating aWS GovCloud administrative credentials and access keys exposed. Under the Lateral Movement tactic, the analysis identified Remote Services: SSH (T1021.004) with moderate to high confidence (80%), supported by evidence indicating sSH keys and authentication details for CISA/DHS infrastructure exposed. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating highly sensitive internal credentials and systems exposed in public repository. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate confidence (50%), supported by evidence indicating potential unauthorized access to critical systems and Account Access Removal (T1531) with moderate confidence (60%), supported by evidence indicating repository locked down after researchers alerted CISA. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Cybersecurity and Infrastructure Security Agency Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/cisagov/incident/NIGCIS1779216319
- Cybersecurity and Infrastructure Security Agency CyberSecurity Rating page: https://www.rankiteo.com/company/cisagov
- Cybersecurity and Infrastructure Security Agency Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/nigcis1779216319-nightwing-us-cybersecurity-and-infrastructure-security-agency-breach-november-2025/
- Cybersecurity and Infrastructure Security Agency CyberSecurity Score History: https://www.rankiteo.com/company/cisagov/history
- Cybersecurity and Infrastructure Security Agency CyberSecurity Incident Source: https://www.techradar.com/pro/security/cisa-contractor-apparently-leaked-highly-sensitive-government-aws-keys-on-github
- 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