Incident Score: Analysis & Impact (CISNIG1779150346)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Nightwing'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 Nightwing 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 Nightwing breach identified under incident ID CISNIG1779150346.
The analysis begins with a detailed overview of Nightwing's information like the linkedin page: https://www.linkedin.com/company/nightwing-us, the number of followers: 13431, the industry type: Engineering Services and the number of employees: 988 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 685 and after the incident was 621 with a difference of -64 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 Nightwing and their customers.
On 15 May 2025, Cybersecurity and Infrastructure Security Agency (CISA) disclosed Data Exposure issues under the banner "CISA Contractor Exposes Highly Sensitive Credentials in Public GitHub Repository".
A contractor for the Cybersecurity and Infrastructure Security Agency (CISA) inadvertently exposed highly privileged credentials and internal system details in a public GitHub repository, marking one of the most severe government data leaks in recent history.
The disruption is felt across the environment, affecting CISA’s secure code development environment (Landing Zone DevSecOps), internal artifactory, AWS GovCloud accounts, and exposing Highly privileged credentials, internal system details, AWS GovCloud admin credentials, plaintext passwords, access tokens.
In response, moved swiftly to contain the threat with measures like Repository taken offline, exposed AWS keys deactivated after 48 hours, and stakeholders are being briefed through CISA acknowledged the incident and confirmed an ongoing investigation.
The case underscores how Ongoing.
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 (95%), with evidence including plaintext passwords in CSV files, and administrative credentials for three AWS GovCloud accounts and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.001) with moderate to high confidence (80%), with evidence including access tokens for CISA’s internal artifactory, and potential backdoors in software builds. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), with evidence including plaintext passwords for dozens of internal CISA systems, and easily guessable credentials (e.g., platform names + current year) and Unsecured Credentials: Credentials in Cloud and DevOps Tools (T1552.006) with high confidence (90%), supported by evidence indicating aWS GovCloud admin credentials exposed in GitHub repository. Under the Lateral Movement tactic, the analysis identified Remote Services: Windows Remote Management (T1021.006) with moderate to high confidence (70%), supported by evidence indicating credentials could have allowed attackers to move laterally within CISA’s infrastructure and Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (80%), supported by evidence indicating access tokens for CISA’s internal artifactory exposed. Under the Persistence tactic, the analysis identified Compromise Software Supply Chain (T1554) with moderate to high confidence (80%), supported by evidence indicating potential embedding of backdoors in software builds via exposed credentials. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (85%), supported by evidence indicating disabled GitHub secret detection in the repository. Under the Exfiltration tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating repository named *Private-CISA* contained internal system details and credentials. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Nightwing Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/nightwing-us/incident/CISNIG1779150346
- Nightwing CyberSecurity Rating page: https://www.rankiteo.com/company/nightwing-us
- Nightwing Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cisnig1779150346-nightwing-cybersecurity-and-infrastructure-security-agency-breach-may-2026/
- Nightwing CyberSecurity Score History: https://www.rankiteo.com/company/nightwing-us/history
- Nightwing CyberSecurity Incident Source: https://krebsonsecurity.com/2026/05/cisa-admin-leaked-aws-govcloud-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