Incident Score: Analysis & Impact (MCDCITSHEVODVERATTGITCURAUSVMW1787509645)
The details regarding individual company incidents & reports gives you full view from every side.
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 MCDCITSHEVODVERATTGITCURAUSVMW1787509645.
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: 6337093, the industry type: Software Development and the number of employees: 6548 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 100 and after the incident was 100 with a difference of 0 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.
Australian energy utility recently reported "AI, Zero-Days, and Low-Tech Defenses: A Week of Escalating Cyber Threats", a noteworthy cybersecurity incident.
This week’s cybersecurity landscape highlighted the dual-edged role of AI both as a tool for attackers and a defensive asset alongside critical vulnerabilities, high-profile breaches, and a reminder that sometimes the simplest solutions are the most effective.
The disruption is felt across the environment, affecting Microsoft Entra ID, Microsoft SCCM and VMware vCenter, and exposing LDAP credentials, SQL databases and Global Administrator account listings, with nearly ['1.7M (McDonald’s)', '~425K (Vodafone)', '~800K (TCS)', '89GB (Shell)'] records at risk.
In response, moved swiftly to contain the threat with measures like physical network cable severing (T-Mobile), server-side patching (Microsoft Entra ID) and auditing AD permissions (Microsoft SCCM), and began remediation that includes patching critical vulnerabilities, migrating from SMS/voice MFA to passkeys/FIDO2 and enhancing monitoring for impossible-travel logins.
The case underscores how ongoing, teams are taking away lessons such as The incidents underscored the accelerating arms race in cybersecurity, with AI lowering the barrier for attackers while defenders race to patch critical flaws. Low-tech defenses (e.g., physical cable cuts) can be effective, and proactive patching, behavioral detection, and resilient access controls are critical, and recommending next steps like Patch critical vulnerabilities within 24 hours of disclosure, Migrate from SMS/voice MFA to passkeys or FIDO2 keys and Implement dual approval and out-of-band verification for payment changes.
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-2026-59310 (VMware vCenter path traversal), and cVE-2026-19490 (Citrix NetScaler auth bypass), Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), with evidence including infostealer-compromised credentials, and global Administrator account listings sold, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (80%), with evidence including malicious HTML attachments (Mirage2FA), and obfuscated HTML attachments, and User Execution: Malicious Link (T1204.001) with moderate to high confidence (70%), supported by evidence indicating adversary-in-the-Middle (AiTM) proxy for session hijacking. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: PowerShell (T1059.001) with moderate to high confidence (70%), supported by evidence indicating aI-driven automation (Claude Sonnet 4.6) executed attacks and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating binary-planting flaw in Cursor IDE (CVE-2026-63093). Under the Persistence tactic, the analysis identified External Remote Services (T1133) with high confidence (90%), with evidence including backdoored VPNs (Claude Sonnet 4.6), and vPN backdoors established and Event Triggered Execution: Windows Management Instrumentation Event Subscription (T1546.003) with moderate to high confidence (80%), supported by evidence indicating 12KB implant used WMI event subscriptions for persistence. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with high confidence (90%), with evidence including cVE-2026-47301 (SCCM SYSTEM-level access), and cVE-2026-59310 (VMware vCenter root access) and Valid Accounts: Domain Accounts (T1078.002) with moderate to high confidence (80%), supported by evidence indicating lDAP credentials stolen (Claude Sonnet 4.6). Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), with evidence including obfuscated HTML attachments (Mirage2FA), and whitespace-padded config files (12KB implant), Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (60%), supported by evidence indicating stealthy Windows backdoor (12KB implant), Exploitation for Defense Evasion (T1211) with moderate to high confidence (70%), supported by evidence indicating medusa ransomware used vulnerable drivers to evade detection, and Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (80%), supported by evidence indicating 12KB implant disguised as Realtek audio software. Under the Credential Access tactic, the analysis identified OS Credential Dumping: LSASS Memory (T1003.001) with moderate to high confidence (70%), supported by evidence indicating lDAP credentials stolen (Claude Sonnet 4.6), Credentials from Password Stores: Credentials from Web Browsers (T1555.003) with high confidence (90%), supported by evidence indicating infostealer-compromised credentials sold on dark web, Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating global Administrator account listings sold (TheHatman), and Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating session tokens hijacked (Mirage2FA AiTM proxy). Under the Discovery tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with high confidence (90%), with evidence including lDAP credentials stolen (Claude Sonnet 4.6), and global Administrator listings sold and Network Service Discovery (T1046) with moderate to high confidence (70%), supported by evidence indicating aI-driven automation scanned for vulnerable systems. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating backdoored VPNs enabled lateral movement and Use Alternate Authentication Material: Pass the Hash (T1550.002) with moderate confidence (60%), supported by evidence indicating lDAP credentials used for lateral movement. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including sQL databases exfiltrated (Claude Sonnet 4.6), and 89GB of data stolen (Shell), Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating aI-driven automation (Claude Sonnet 4.6) collected data, and Data from Information Repositories: Sharepoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating vendor payment details compromised (BEC attack). Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating 2,000 WordPress sites repurposed as C2 network and Ingress Tool Transfer (T1105) with moderate to high confidence (70%), supported by evidence indicating ransomware delivered via fake CAPTCHA prompts. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including sQL databases exfiltrated (Claude Sonnet 4.6), and 89GB of data stolen (Shell) and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating data exfiltration via undocumented URL parameters (Copilot Personal). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating medusa and Cl0p ransomware encrypted data, Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating disabled VMware HA agent (VMware vCenter exploit), and Account Access Removal (T1531) with moderate to high confidence (70%), supported by evidence indicating firewall outage caused by AI-driven attack. 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/MCDCITSHEVODVERATTGITCURAUSVMW1787509645
- GitHub CyberSecurity Rating page: https://www.rankiteo.com/company/github
- GitHub Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/mcdcitshevodverattgitcurausvmw1787509645-verizon-mcdonalds-att-vodafone-australian-energy-utility-shell-vmware-citrix-github-cursor-ide-cyber-attack-august-2026/
- GitHub CyberSecurity Score History: https://www.rankiteo.com/company/github/history
- GitHub CyberSecurity Incident Source: https://cybersecuritynews.com/cyber-security-newsletter-bulletin-august/
- 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