Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2022-26133 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Atlassian Bitbucket Data Center. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 0.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2022-26133 is a Java deserialization vulnerability (CWE-502) in the SharedSecretClusterAuthenticator component of Atlassian Bitbucket Data Center. It affects versions 5.14.0 and later before 7.6.14, 7.7.0 and later prior to 7.17.6, 7.18.0 and later prior to 7.18.4, 7.19.0 and later prior to 7.19.4, and 7.20.0. The flaw carries a CVSS 3.1 score of 9.8 and stems from unsafe handling of serialized objects, commonly tied to an embedded Hazelcast instance.
A remote unauthenticated attacker can send a crafted serialized payload over the network to trigger arbitrary code execution on the Bitbucket server, achieving full confidentiality, integrity, and availability impact without any user interaction or credentials.
Atlassian security advisories reference the underlying Hazelcast issue (CVE-2016-10750) and direct administrators to upgrade Bitbucket Data Center to one of the fixed releases listed in the Jira ticket BSERV-13173; the advisories also recommend reviewing cluster authentication configurations and applying vendor patches promptly. The EPSS score has reached 0.8139, indicating substantial exploitation interest.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-30700
Vulnerability Data
SharedSecretClusterAuthenticator in Atlassian Bitbucket Data Center versions 5.14.0 and later before 7.6.14, 7.7.0 and later prior to 7.17.6, 7.18.0 and later prior to 7.18.4, 7.19.0 and later prior to 7.19.4, and 7.20.0 allow a remote, unauthenticated attacker to execute arbitrary…
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code via Java deserialization.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
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.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.