Incident Score: Analysis & Impact (GIT1781001050)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of GitHub's Cyber Attack 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 GIT1781001050.
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 167 and after the incident was 154 with a difference of -13 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.
On 05 May 2026, a cybersecurity incident called "AI-Powered Phishing Campaigns Exploit ChatGPT, Claude, and DeepSeek Brands" came to light.
Cybercriminals are leveraging the popularity of AI platforms like ChatGPT, Claude, and DeepSeek to launch sophisticated phishing attacks, tricking users into surrendering login credentials, credit card details, and authentication tokens.
The disruption is felt across the environment, and exposing Login credentials, Credit card details and Authentication tokens.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as These attacks highlight the growing threat of AI-branded phishing, where trust in popular platforms is weaponized to bypass security measures.
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 Phishing (T1566) with high confidence (90%), supported by evidence indicating attackers craft convincing fake emails and websites mimicking trusted AI platforms, Phishing: Spearphishing Link (T1566.001) with moderate to high confidence (80%), supported by evidence indicating fake ChatGPT Plus subscription downgrade emails with payment update prompt, Phishing: Spearphishing Attachment (T1566.002) with moderate to high confidence (80%), supported by evidence indicating malicious PDF (Fill and Sign Claude Appeal Form.pdf), Phishing for Information (T1598) with moderate to high confidence (70%), supported by evidence indicating emails claiming account policy violations, directing users to malicious PDF, and Drive-by Compromise (T1189) with moderate to high confidence (70%), supported by evidence indicating malvertising pushed via free movie streaming sites. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating malicious PDF (Fill and Sign Claude Appeal Form.pdf) and User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating fake ChatGPT Plus subscription downgrade emails with payment update prompt. Under the Credential Access tactic, the analysis identified Input Capture: Keylogging (T1056.001) with moderate to high confidence (70%), supported by evidence indicating victims losing login credentials, credit card details, and authentication tokens, Adversary-in-the-Middle (T1557) with moderate to high confidence (80%), supported by evidence indicating token-stealing Microsoft sign-in page, and Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating authentication tokens granting attackers direct access to corporate systems. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (80%), supported by evidence indicating code-signed malware downloader linked to Fox Tempest group, Masquerading (T1036) with high confidence (90%), supported by evidence indicating fake emails and websites mimicking ChatGPT, Claude, and DeepSeek, Modify Authentication Process: Password Filter DLL (T1556.002) with moderate confidence (60%), supported by evidence indicating token-stealing Microsoft sign-in page, and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating authentication tokens granting attackers direct access to corporate systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating victims losing login credentials, credit card details, and authentication tokens and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating vidar infostealer distributed via fraudulent GitHub repository. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating vidar C2 domains such as pan.ssffaa19.xyz, pan.rongtv.xyz and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data exfiltration via token-stealing Microsoft sign-in page. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- GitHub Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/github/incident/GIT1781001050
- GitHub CyberSecurity Rating page: https://www.rankiteo.com/company/github
- GitHub Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/git1781001050-github-cyber-attack-may-2026/
- GitHub CyberSecurity Score History: https://www.rankiteo.com/company/github/history
- GitHub CyberSecurity Incident Source: https://cybersecuritynews.com/threat-actors-abuse-chatgpt-claude-and-deepseek-brands-as-phishing-lures/
- 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