Incident Score: Analysis & Impact (DUCHARGHO1779798590)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Harvard University'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 Harvard University 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 Harvard University breach identified under incident ID DUCHARGHO1779798590.
The analysis begins with a detailed overview of Harvard University's information like the linkedin page: https://www.linkedin.com/company/harvard-university, the number of followers: 2927684, the industry type: Higher Education and the number of employees: 35447 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 618 and after the incident was 495 with a difference of -123 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 Harvard University and their customers.
On 07 May 2026, Harvard University disclosed SQL Injection, Malware Campaign issues under the banner "Critical Ghost CMS Vulnerability Exploited in Large-Scale Malware Campaign".
A severe SQL injection flaw in the Ghost content management system (CMS), tracked as CVE-2026-26980, has been exploited in a widespread cyberattack compromising over 700 websites, including platforms linked to Harvard University, the University of Oxford, and DuckDuckGo.
The disruption is felt across the environment, affecting Over 700 Ghost-powered websites, and exposing Admin API keys, user credentials, authentication tokens.
In response, and began remediation that includes Patch Ghost CMS to version 6.19.1 or later.
The case underscores how Ongoing, teams are taking away lessons such as Risks of delayed patching in widely used CMS platforms, importance of timely vulnerability remediation, and the need for enhanced monitoring of third-party integrations, and recommending next steps like Immediately patch Ghost CMS to version 6.19.1 or later, Monitor for unauthorized modifications to published content and Implement behavioral WAF and enhanced monitoring for malicious JavaScript injections.
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 (95%), with evidence including severe SQL injection flaw in the Ghost CMS (CVE-2026-26980), and unpatched Ghost installations exploited. Under the Credential Access tactic, the analysis identified Credentials from Web Browsers or API Keys (T1552.006) with high confidence (90%), supported by evidence indicating admin API keys, user credentials, and authentication tokens extracted via Ghost’s Content API. Under the Persistence tactic, the analysis identified Web Shell (T1505.003) with moderate to high confidence (85%), supported by evidence indicating malicious JavaScript injected into published articles via Admin API key. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information: Embedded Payloads (T1027.009) with moderate to high confidence (80%), supported by evidence indicating two-stage JavaScript loaders injected into website articles and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating adspect cloaking service used to evade automated scanners. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (85%), supported by evidence indicating visitors directed to clo4shara.xyz/11z77u3.php for payload delivery. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating admin API keys, user credentials, and tokens extracted via SQL injection. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with high confidence (90%), supported by evidence indicating attackers modified published articles to embed malicious code. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Harvard University Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/harvard-university/incident/DUCHARGHO1779798590
- Harvard University CyberSecurity Rating page: https://www.rankiteo.com/company/harvard-university
- Harvard University Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/duchargho1779798590-duckduckgo-harvard-university-ghost-cyber-attack-may-2026/
- Harvard University CyberSecurity Score History: https://www.rankiteo.com/company/harvard-university/history
- Harvard University CyberSecurity Incident Source: https://thecyberexpress.com/cve-2026-26980-ghost-cms-vulnerability/
- 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