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Analyze » GitHub » GITCPAADTROB1777796722

Incident Score: Analysis & Impact (GITCPAADTROB1777796722)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-9
Company Score Before Incident264 / 1000
Company Score After Incident255 / 1000
INCIDENT NUMBERGITCPAADTROB1777796722
Type of Cyber IncidentVulnerability
ATTACK VECTORAI Agents, Phishing (Microsoft Teams), Email Hijacking, Malware, Zero-Day Exploits, GPS Signal Manipulation, Mobile Cell Tower Spoofing, Backdoors
DATA EXPOSED1.4 million Udemy records, 500,000...
INCIDENT DATE27/04/2026
STATUSOngoing

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 GITCPAADTROB1777796722.

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 264 and after the incident was 255 with a difference of -9 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.

ADT recently reported "Cybersecurity Roundup: Key Incidents and Developments from April 2026", a noteworthy cybersecurity incident.

Last week saw a surge in cybersecurity threats, regulatory actions, and technological advancements highlighting both emerging risks and evolving defenses.

The disruption is felt across the environment, affecting Windows Systems (CVE-2026-32202), Linux Distributions (CVE-2026-31431) and GitHub Enterprise Servers (CVE-2026-3854), and exposing 1.4 million Udemy records, 500,000 UK Biobank medical records and 600,000 Roblox accounts, with nearly ['1.4 million (Udemy)', '500,000 (UK Biobank)', '600,000 (Roblox)', '2.7 million (arXiv)'] records at risk, plus an estimated financial loss of €50 million (Albanian Call Center Bust) + $3.425 billion in fines (2025 US privacy violations).

In response, and began remediation that includes Patches for CVE-2026-32202, CVE-2026-31431, CVE-2026-3854, CVE-2026-41940, Open-source toolkit for AI model lineage verification (Cisco) and Portable GPS spoofing detection tool (Oak Ridge National Laboratory).

The case underscores how Ongoing, teams are taking away lessons such as AI and automation are blurring the line between digital and real-world attacks, Enterprises lack visibility into AI model modifications, increasing supply chain risks and Traditional IAM systems are ill-equipped to handle AI agents, and recommending next steps like Adopt AI model lineage verification tools (e.g., Cisco's open-source toolkit), Enhance IAM frameworks to account for AI agents (e.g., FIDO Alliance initiatives) and Replace ticket-based SOC metrics with attack detection-focused KPIs.

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 Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including cVE-2026-3854 (GitHub Enterprise Server RCE), and cVE-2026-41940 (cPanel Authentication Bypass), Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), with evidence including uNC6692 impersonated IT helpdesk via Microsoft Teams, and robinhood email hijacking for phishing, and Trusted Relationship (T1199) with moderate to high confidence (70%), supported by evidence indicating aI agents hired via RentAHuman for physical/digital attacks. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating uNC6692 tricked employees into downloading Mailbox Repair Utility and Command and Scripting Interpreter: Unix Shell (T1059.004) with moderate to high confidence (70%), supported by evidence indicating linux Kernel Privilege Escalation (CVE-2026-31431) with PoC exploit. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with high confidence (90%), supported by evidence indicating cVE-2026-31431 (Linux Kernel LPE), CVE-2026-32202 (Windows Shell spoofing). Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle: LLM-in-the-Middle (T1557.001) with moderate to high confidence (70%), supported by evidence indicating aI agents bypassing traditional authentication (IAM gaps) and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating 600,000 Roblox accounts stolen via malware. Under the Discovery tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with moderate to high confidence (70%), supported by evidence indicating uNC6692 impersonated IT helpdesk to target employees. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 88% of 2.7M arXiv LaTeX files contained unintended disclosures and Data from Information Repositories: Sharepoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating aDT customer data breach via internal systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including uK Biobank data listed for sale on Alibaba, and roblox account theft and Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (70%), supported by evidence indicating aI workflows generating high-bandwidth traffic (Backblaze report). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating vect Ransomware bug causing irreversible encryption and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (60%), supported by evidence indicating gPS spoofing in transit networks (Oak Ridge tool detection). Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (70%), supported by evidence indicating malware disguised as Mailbox Repair Utility (UNC6692) and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating robinhood email hijacking for phishing. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Phishing: Spearphishing Link (80%)
Trusted Relationship (70%)
Execution
User Execution: Malicious File (80%)
Command and Scripting Interpreter: Unix Shell (70%)
Privilege Escalation
Exploitation for Privilege Escalation (90%)
Credential Access
Adversary-in-the-Middle: LLM-in-the-Middle (70%)
Brute Force: Password Guessing (60%)
Discovery
Account Discovery: Domain Account (70%)
Collection
Data from Local System (80%)
Data from Information Repositories: Sharepoint (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (70%)
Impact
Data Encrypted for Impact (90%)
Data Manipulation: Stored Data Manipulation (60%)
Defense Evasion
Subvert Trust Controls: Code Signing (70%)
Valid Accounts: Cloud Accounts (80%)