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Analyze » Nightwing » NIGCIS1779216319

Incident Score: Analysis & Impact (NIGCIS1779216319)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-64
Company Score Before Incident739 / 1000
Company Score After Incident675 / 1000
INCIDENT NUMBERNIGCIS1779216319
Type of Cyber IncidentBreach
ATTACK VECTORExposed GitHub Repository
DATA EXPOSEDHighly sensitive internal credentials and...
INCIDENT DATE14/11/2025
STATUSOngoing

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 NIGCIS1779216319.

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 739 and after the incident was 675 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.

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 Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.001) with high confidence (90%), with evidence including supply chain such as true, and repository maintained by government contractor Nightwing and Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating aWS access keys and tokens (including importantAWStokens) in GitHub repo. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (100%), supported by evidence indicating plaintext usernames/passwords, CSV with stored login credentials exposed and Unsecured Credentials: Private Keys (T1552.004) with high confidence (95%), supported by evidence indicating sSH keys and authentication details for CISA/DHS infrastructure exposed. 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 exposed in public repo. Under the Lateral Movement tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating functional AWS access keys and tokens exposed; potential unauthorized access. Under the Collection tactic, the analysis identified Data from Cloud Storage Object (T1530) with high confidence (90%), supported by evidence indicating credentials for internal Artifactory software repository 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 credentials exposed; potential for unauthorized data transfer. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (80%), supported by evidence indicating aWS GovCloud credentials exposed; potential for unauthorized cloud resource use and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating exposure of internal software deployment practices; potential sabotage risk. 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: Compromise Software Dependencies and Development Tools (90%)
Unsecured Credentials: Credentials In Files (95%)
Credential Access
Unsecured Credentials: Credentials In Files (100%)
Unsecured Credentials: Private Keys (95%)
Discovery
Cloud Service Discovery (80%)
Lateral Movement
Valid Accounts: Cloud Accounts (90%)
Collection
Data from Cloud Storage Object (90%)
Exfiltration
Transfer Data to Cloud Account (70%)
Impact
Resource Hijacking (80%)
Data Destruction (50%)