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Analyze » OWASP® Foundation » OWA1769633044

Incident Score: Analysis & Impact (OWA1769633044)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-2
Company Score Before Incident762 / 1000
Company Score After Incident760 / 1000
INCIDENT NUMBEROWA1769633044
Type of Cyber IncidentVulnerability
ATTACK VECTORLocal (via JavaScript-based scan rule execution)
DATA EXPOSEDNA
INCIDENT DATE27/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of OWASP® Foundation'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 OWASP® Foundation 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 OWASP® Foundation breach identified under incident ID OWA1769633044.

The analysis begins with a detailed overview of OWASP® Foundation's information like the linkedin page: https://www.linkedin.com/company/owasp, the number of followers: 288043, the industry type: Software Development and the number of employees: 648 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 762 and after the incident was 760 with a difference of -2 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 OWASP® Foundation and their customers.

OWASP ZAP Project recently reported "Memory Leak in JavaScript Engine Affecting Active Scans in OWASP ZAP", a noteworthy cybersecurity incident.

The OWASP ZAP project has uncovered a memory leak in its embedded JavaScript engine, which became more widespread following a recent update.

The disruption is felt across the environment, affecting OWASP ZAP active scan functionality.

In response, moved swiftly to contain the threat with measures like Disabling the problematic JavaScript scan rule or OpenAPI add-on, increasing JVM heap size (temporary measure), splitting large OpenAPI definitions into smaller scan scopes, and began remediation that includes Hotfix released to address the memory leak, while recovery efforts such as Update ZAP and its add-ons via the ZAP Marketplace continue.

The case underscores how and recommending next steps like Update ZAP and its add-ons, disable the problematic JavaScript scan rule or OpenAPI add-on if necessary, increase JVM heap size as a temporary measure, or split large OpenAPI definitions into smaller scan scopes.

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 Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with high confidence (90%), with evidence including leading to steadily rising heap usage within the ZAP process, and cause the JVM to terminate due to memory exhaustion and Endpoint Denial of Service: OS Exhaustion Flood (T1499.001) with moderate to high confidence (80%), with evidence including steadily rising heap usage, and increased garbage-collection activity, and failures resembling resource exhaustion. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate confidence (50%), supported by evidence indicating memory leak in embedded JavaScript engine triggered by JavaScript-based scan rule. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating vulnerability in OWASP ZAPs active scan functionality. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Impact
Endpoint Denial of Service (90%)
Endpoint Denial of Service: OS Exhaustion Flood (80%)
Defense Evasion
Masquerading (50%)
Initial Access
Exploit Public-Facing Application (40%)

Sources & References