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Analyze » The Apache Software Foundation » THE1775636935

Incident Score: Analysis & Impact (THE1775636935)

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 Incident763 / 1000
Company Score After Incident761 / 1000
Company LinkView The Apache Software Foundation Profile
INCIDENT NUMBERTHE1775636935
Type of Cyber IncidentVulnerability
ATTACK VECTORJolokia API (REST API for JMX operations)
DATA EXPOSEDNA
INCIDENT DATE31/12/2022
STATUSVulnerability disclosed, patches available

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 THE1775636935.

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 763 and after the incident was 761 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 The Apache Software Foundation and their customers.

Apache ActiveMQ Classic recently reported "Critical 13-Year-Old RCE Flaw in Apache ActiveMQ Classic Discovered by AI", a noteworthy cybersecurity incident.

A newly disclosed remote code execution (RCE) vulnerability in Apache ActiveMQ Classic, tracked as CVE-2026-34197, has been uncovered after remaining hidden for over 13 years.

The disruption is felt across the environment, affecting Apache ActiveMQ Classic versions 6.0.0 through 6.1.1 (zero-authentication RCE) and other versions with administrative access.

In response, moved swiftly to contain the threat with measures like Upgrade to versions 5.19.4 or 6.2.3, change default credentials, monitor logs for suspicious `vm://` URIs or `brokerConfig=xbean:http` patterns, and began remediation that includes Remove risky `vm://` transport usage in remote operations, apply patches for CVE-2026-34197 and CVE-2024-32114.

The case underscores how Vulnerability disclosed, patches available, teams are taking away lessons such as The incident underscores the risks of legacy code paths and the growing efficiency of AI-driven security research. It also highlights the importance of removing unnecessary administrative functionalities and enforcing strict authentication controls, and recommending next steps like Upgrade to Apache ActiveMQ Classic versions 5.19.4 or 6.2.3 immediately, Change default credentials and enforce strong authentication and Monitor logs for suspicious `vm://` URIs or `brokerConfig=xbean:http` patterns.

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 vulnerability resides in ActiveMQ Classic’s web-based management console and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating exploit the flaw by sending a crafted request to the Jolokia API. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), supported by evidence indicating abusing the `addNetworkConnector` operation to force the broker to download a malicious remote configuration file and Command and Scripting Interpreter (T1059) with moderate to high confidence (80%), supported by evidence indicating arbitrary code execution during connection setup via `xbean such as http such as //` URL. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating granting attackers full system control via crafted request to Jolokia API. Under the Defense Evasion tactic, the analysis identified Modify Registry (T1112) with moderate confidence (50%), supported by evidence indicating malicious remote configuration file via `vm such as //` protocol and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating cVE-2024-32114 unintentionally removed authentication protections. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating activeMQ’s history as a target for ransomware and advanced threat actors. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (80%), supported by evidence indicating full system control by attackers, potential for ransomware deployment. 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%)
External Remote Services (80%)
Execution
Exploitation for Client Execution (90%)
Command and Scripting Interpreter (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Modify Registry (50%)
Impair Defenses: Disable or Modify Tools (60%)
Lateral Movement
Exploitation of Remote Services (70%)
Impact
Resource Hijacking (80%)

Sources & References