CVE-2026-55770 (GCVE-0-2026-55770)
Vulnerability from cvelistv5 – Published: 2026-09-15 15:44 – Updated: 2026-09-15 16:41
VLAI
EPSS
VEX
Title
OpenBao: LDAPi ldaputil (wrong escape func)
Summary
OpenBao is an open source identity-based secrets management system. Prior to 2.5.5, OpenBao used EscapeLDAPValue, an RFC 4514 distinguished-name escaping function, where RFC 4515 LDAP search-filter escaping was required in sdk/helper/ldaputil/client.go GetUserDN. With the LDAP authentication backend configured for an Active Directory UPNDomain path or UserDN and UserAttr binding, an attacker-controlled username containing filter metacharacters could alter the search predicate and select a different directory entry because EscapeLDAPValue does not neutralize the characters handled by ldap.EscapeFilter. A resulting token could be associated with another LDAP identity and gain access to secrets, policies, or modification capabilities assigned to that identity. This issue is fixed in version 2.5.5.
Severity
6.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-15 16:40 UTC
CWE
- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/openbao/openbao/security/advis… | x_refsource_CONFIRM |
| https://github.com/openbao/openbao/pull/3306 | x_refsource_MISC |
| https://github.com/openbao/openbao/pull/3313 | x_refsource_MISC |
| https://github.com/openbao/openbao/commit/10b7825… | x_refsource_MISC |
| https://github.com/openbao/openbao/commit/8077f96… | x_refsource_MISC |
| https://github.com/openbao/openbao/releases/tag/v2.5.5 | x_refsource_MISC |
| https://github.com/openbao/openbao/releases/tag/v2.6.0 | x_refsource_MISC |
Impacted products
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"title": "github.com/openbao/openbao: OpenBao: Unauthorized access via LDAP search filter bypass",
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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