Evidence used
- No CISA KEV confirmation is currently recorded.
- EPSS is 1.03% for the current model date.
BlackTreeCVE Intelligencedatahub-project · datahub
Official source article: GitHub GHSA-HRWP-2Q5C-86WV ↗. Check the applicable product and release in the original source.
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
Patch availableDataHub is an open-source metadata platform. When the DataHub frontend is configured to authenticate via SSO, it will leverage the pac4j library. The processing of the `id_token` is done in an unsafe manner which is not properly accounted for by the DataHub frontend. Specifically, if any of the id_token claims value start with the {#sb64} prefix, pac4j considers the value to be a serialized Java object and will deserialize it. This issue may lead to Remote Code Execution (RCE) in the worst case. Although a `RestrictedObjectInputStream` is in place, that puts some restriction on what classes can be deserialized, it still allows a broad range of java packages and potentially exploitable with different gadget chains. Users are advised to upgrade. There are no known workarounds. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-086.
DataHub is an open-source metadata platform. When the DataHub frontend is configured to authenticate via SSO, it will leverage the pac4j library. The processing of the `id_token` is done in an unsafe manner which is not properly accounted for by the DataHub frontend. Specifically, if any of the id_token claims value start with the {#sb64} prefix, pac4j considers the value to be a serialized Java object and will deserialize it. This issue may lead to Remote Code Execution (RCE) in the worst case. Although a `RestrictedObjectInputStream` is in place, that puts some restriction on what classes can be deserialized, it still allows a broad range of java packages and potentially exploitable with different gadget chains. Users are advised to upgrade. There are no known workarounds. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-086.
Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
DataHub is an open-source metadata platform. When the DataHub frontend is configured to authenticate via SSO, it will leverage the pac4j library. The processing of the `id_token` is done in an unsafe manner which is not properly accounted for by the DataHub frontend. Specifically, if any of the id_token claims value start with the {#sb64} prefix, pac4j considers the value to be a serialized Java object and will deserialize it. This issue may lead to Remote Code Execution (RCE) in the worst case. Although a `RestrictedObjectInputStream` is in place, that puts some restriction on what classes can be deserialized, it still allows a broad range of java packages and potentially exploitable with different gadget chains. Users are advised to upgrade. There are no known workarounds. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-086.
Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-502: Deserialization of Untrusted Data. The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 10 Feb 2023 · Last source change 10 Mar 2025, 21:13 UTC · CWE-502 · Deserialization of Untrusted Data
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.