CVE-2025-58782
Published: 08 September 2025
Summary
CVE-2025-58782 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Jackrabbit. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 37.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-27118
Vulnerability details
Deserialization of Untrusted Data vulnerability in Apache Jackrabbit Core and Apache Jackrabbit JCR Commons. This issue affects Apache Jackrabbit Core: from 1.0.0 through 2.22.1; Apache Jackrabbit JCR Commons: from 1.0.0 through 2.22.1. Deployments that accept JNDI URIs for JCR lookup…
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from untrusted users allows them to inject malicious JNDI references, potentially leading to arbitrary code execution through deserialization of untrusted data. Users are recommended to upgrade to version 2.22.2. JCR lookup through JNDI has been disabled by default in 2.22.2. Users of this feature need to enable it explicitly and are adviced to review their use of JNDI URI for JCR lookup.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.