Apache OFBiz Content Component Server-Side Request Forgery

Server-Side Request Forgery (SSRF) vulnerability in Apache OFBiz via Content component operations. This issue affects Apache OFBiz: before 24.09.06. Users are recommended to upgrade to version 24.09.06, which fixes the issue.

Casky was already ahead

This CVE exploits attack patterns that Casky's 312matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

A Server-Side Request Forgery (SSRF) vulnerability exists in Apache OFBiz versions before 24.09.06, specifically within the Content component operations. SSRF vulnerabilities allow attackers to manipulate a server into making unintended requests to internal resources, other services, or external systems. This vulnerability has a CVSS score of 7.3 (high severity) and affects organizations using vulnerable OFBiz deployments. Attackers can exploit this flaw to access internal APIs, metadata services, or sensitive backend systems that should not be directly accessible from the internet, potentially leading to data exfiltration, lateral movement, or further compromise of the infrastructure.

Casky.ai's 312 matching skills leverage Claude's extended reasoning capabilities to detect the attack patterns mapped to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0006 (Credential Access). Practitioners using Casky would identify reconnaissance activity through requests to the vulnerable Content component endpoint that probe for internal service responses, and credential access attempts where attackers manipulate SSRF payloads to retrieve authentication tokens or sensitive configuration data from internal endpoints. The platform's skill set enables detection of characteristic SSRF indicators—anomalous outbound connections from the OFBiz application server to internal IP ranges, requests containing localhost references or internal hostnames in Content parameters, and response timing patterns inconsistent with legitimate operations. By mapping these behavioral indicators against CWE-918 patterns, Casky helps practitioners distinguish actual exploitation from benign Content component usage.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

312 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-29226.

analyzing-cloud-storage-access-patterns

cloud security · low

Run

analyzing-ios-app-security-with-objection

mobile security · low

Run

analyzing-malicious-url-with-urlscan

phishing defense · medium

Run

MITRE ATT&CK Techniques

TA0001 TA0006

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