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Analyze » GitHub » AWSGITSTR1775163155

Incident Score: Analysis & Impact (AWSGITSTR1775163155)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-3
Company Score Before Incident319 / 1000
Company Score After Incident316 / 1000
INCIDENT NUMBERAWSGITSTR1775163155
Type of Cyber IncidentVulnerability
ATTACK VECTORExposed API credentials in public-facing web content
DATA EXPOSEDAPI credentials for cloud platforms,...
INCIDENT DATE01/04/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of GitHub'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 GitHub 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 GitHub breach identified under incident ID AWSGITSTR1775163155.

The analysis begins with a detailed overview of GitHub's information like the linkedin page: https://www.linkedin.com/company/github, the number of followers: 5688458, the industry type: Software Development and the number of employees: 6007 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 319 and after the incident was 316 with a difference of -3 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 GitHub and their customers.

Multinational corporations recently reported "Thousands of API Credentials Exposed Across 10,000 Websites, Researchers Warn", a noteworthy cybersecurity incident.

A recent analysis of 10 million websites revealed nearly 2,000 exposed API credentials across 10,000 webpages, posing a significant security risk to organizations.

The disruption is felt across the environment, affecting Cloud platforms, payment systems, firmware repositories, drones, remote-controlled devices, and exposing API credentials for cloud platforms, payment systems, and firmware repositories, with nearly 1,748 valid credentials records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Organizations need to monitor and secure publicly accessible web assets to prevent unauthorized access due to exposed credentials, and recommending next steps like Implement tools like TruffleHog to scan for exposed credentials, enforce strict credential handling policies, and regularly audit public-facing web content.

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%), supported by evidence indicating 1,748 valid credentials for major services...embedded in public-facing web content and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating exposed API credentials across 10,000 webpages...grant programmatic access. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (95%), supported by evidence indicating exposed API credentials...found in JavaScript files...AWS credentials accounting for 16%. Under the Lateral Movement tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating valid credentials...grant programmatic access to cloud platforms, payment systems. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (80%), supported by evidence indicating credentials...grant access to core infrastructure...cloud platforms. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating potential unauthorized access to core infrastructure...cloud credentials exposed. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate confidence (60%), supported by evidence indicating firmware repository credentials for drones...raising concerns about malicious updates. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Unsecured Credentials: Credentials In Files (90%)
Exploit Public-Facing Application (70%)
Credential Access
Unsecured Credentials: Credentials In Files (95%)
Lateral Movement
Valid Accounts (80%)
Collection
Data from Cloud Storage (80%)
Exfiltration
Transfer Data to Cloud Account (70%)
Impact
Resource Hijacking (60%)

Sources & References