CVE-2022-31086 (GCVE-0-2022-31086)
Vulnerability from cvelistv5 – Published: 2022-06-27 20:50 – Updated: 2025-04-23 18:07
VLAI
EPSS
VEX
Title
Incorrect Regular Expressions in ldap-account-manager
Summary
LDAP Account Manager (LAM) is a webfrontend for managing entries (e.g. users, groups, DHCP settings) stored in an LDAP directory. In versions prior to 8.0 incorrect regular expressions allow to upload PHP scripts to config/templates/pdf. This vulnerability could lead to a Remote Code Execution if the /config/templates/pdf/ directory is accessible for remote users. This is not a default configuration of LAM. This issue has been fixed in version 8.0. There are no known workarounds for this issue.
Severity
6.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 15:51 UTC
CWE
- CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/LDAPAccountManager/lam/commit/… | x_refsource_MISC |
| https://github.com/LDAPAccountManager/lam/securit… | x_refsource_CONFIRM |
| https://www.debian.org/security/2022/dsa-5177 | vendor-advisoryx_refsource_DEBIAN |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| LDAPAccountManager | lam |
Affected:
< 8.0
|
guessed |
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"url": "https://github.com/LDAPAccountManager/lam/commit/f1d5d04952f39a1b4ea203d3964fa88e1429dfd4"
},
{
"name": "https://github.com/LDAPAccountManager/lam/security/advisories/GHSA-q9pc-x84w-982x",
"refsource": "CONFIRM",
"url": "https://github.com/LDAPAccountManager/lam/security/advisories/GHSA-q9pc-x84w-982x"
},
{
"name": "DSA-5177",
"refsource": "DEBIAN",
"url": "https://www.debian.org/security/2022/dsa-5177"
}
]
},
"source": {
"advisory": "GHSA-q9pc-x84w-982x",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-31086",
"datePublished": "2022-06-27T20:50:21.000Z",
"dateReserved": "2022-05-18T00:00:00.000Z",
"dateUpdated": "2025-04-23T18:07:11.602Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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