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Analyze » The Apache Software Foundation » THE1779207955

Incident Score: Analysis & Impact (THE1779207955)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident576 / 1000
Company Score After Incident571 / 1000
Company LinkView The Apache Software Foundation Profile
INCIDENT NUMBERTHE1779207955
Type of Cyber IncidentVulnerability
ATTACK VECTORSQL Injection
DATA EXPOSEDNA
INCIDENT DATE14/05/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of The Apache Software 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 The Apache Software 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 The Apache Software Foundation breach identified under incident ID THE1779207955.

The analysis begins with a detailed overview of The Apache Software Foundation's information like the linkedin page: https://www.linkedin.com/company/the-apache-software-foundation, the number of followers: 79547, the industry type: Software Development and the number of employees: 2368 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 576 and after the incident was 571 with a difference of -5 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 The Apache Software Foundation and their customers.

On 15 May 2026, Apache Flink disclosed Remote Code Execution (RCE) issues under the banner "Critical RCE Vulnerability in Apache Flink Exposes Distributed Data Processing Clusters".

A newly disclosed critical vulnerability in Apache Flink (CVE-2026-35194) enables remote code execution (RCE) via SQL injection flaws in the platform’s code generation engine.

The disruption is felt across the environment, affecting Apache Flink TaskManager nodes, distributed data processing clusters.

In response, moved swiftly to contain the threat with measures like Upgrade to patched versions (1.20.4, 2.0.2, 2.1.2, 2.2.1), restrict query submission privileges, monitor for anomalous SQL activity, implement runtime security controls on TaskManager nodes, and began remediation that includes Apache released patched versions (1.20.4, 2.0.2, 2.1.2, 2.2.1).

The case underscores how and recommending next steps like Upgrade immediately to patched versions, restrict query submission privileges, monitor for anomalous SQL activity, and implement runtime security controls on TaskManager nodes.

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%), supported by evidence indicating critical RCE Vulnerability in Apache Flink (CVE-2026-35194). Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), supported by evidence indicating enables remote code execution (RCE) via SQL injection flaws and Command and Scripting Interpreter (T1059) with moderate to high confidence (80%), supported by evidence indicating execute arbitrary code on TaskManager nodes via SQL queries. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating full cluster compromise, data manipulation, or lateral movement. Under the Defense Evasion tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating improper sanitization of user-supplied input in SQL-to-Java translation and Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating crafting specially designed SQL queries to manipulate code generation. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (80%), supported by evidence indicating lateral movement within the environment in multi-tenant deployments. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating full cluster compromise, data manipulation in distributed data processing and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (70%), supported by evidence indicating data manipulation or lateral movement within the environment. 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%)
Execution
Exploitation for Client Execution (90%)
Command and Scripting Interpreter (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Exploit Public-Facing Application (80%)
Obfuscated Files or Information (60%)
Lateral Movement
Exploitation of Remote Services (80%)
Impact
Resource Hijacking (70%)
Data Manipulation: Stored Data Manipulation (70%)

Sources & References