FKIE_CVE-2025-61911
Vulnerability from fkie_nvd - Published: 2025-10-10 22:15 - Updated: 2026-10-19 16:10
Severity
Summary
python-ldap is a lightweight directory access protocol (LDAP) client API for Python. In versions prior to 3.4.5, the sanitization method `ldap.filter.escape_filter_chars` can be tricked to skip escaping of special characters when a crafted `list` or `dict` is supplied as the `assertion_value` parameter, and the non-default `escape_mode=1` is configured. The method `ldap.filter.escape_filter_chars` supports 3 different escaping modes. `escape_mode=0` (default) and `escape_mode=2` happen to raise exceptions when a `list` or `dict` object is supplied as the `assertion_value` parameter. However, `escape_mode=1` computes without performing adequate logic to ensure a fully escaped return value. If an application relies on the vulnerable method in the `python-ldap` library to escape untrusted user input, an attacker might be able to abuse the vulnerability to launch ldap injection attacks which could potentially disclose or manipulate ldap data meant to be inaccessible to them. Version 3.4.5 fixes the issue by adding a type check at the start of the `ldap.filter.escape_filter_chars` method to raise an exception when the supplied `assertion_value` parameter is not of type `str`.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| python-ldap | python-ldap | * |
{
"affected": [
{
"affectedData": [
{
"product": "python-ldap",
"vendor": "python-ldap",
"versions": [
{
"status": "affected",
"version": "\u003c 3.4.5"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:python-ldap:python-ldap:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A066CED7-56FF-4B63-80DF-A7959CE54F6A",
"versionEndExcluding": "3.4.5",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "python-ldap is a lightweight directory access protocol (LDAP) client API for Python. In versions prior to 3.4.5, the sanitization method `ldap.filter.escape_filter_chars` can be tricked to skip escaping of special characters when a crafted `list` or `dict` is supplied as the `assertion_value` parameter, and the non-default `escape_mode=1` is configured. The method `ldap.filter.escape_filter_chars` supports 3 different escaping modes. `escape_mode=0` (default) and `escape_mode=2` happen to raise exceptions when a `list` or `dict` object is supplied as the `assertion_value` parameter. However, `escape_mode=1` computes without performing adequate logic to ensure a fully escaped return value. If an application relies on the vulnerable method in the `python-ldap` library to escape untrusted user input, an attacker might be able to abuse the vulnerability to launch ldap injection attacks which could potentially disclose or manipulate ldap data meant to be inaccessible to them. Version 3.4.5 fixes the issue by adding a type check at the start of the `ldap.filter.escape_filter_chars` method to raise an exception when the supplied `assertion_value` parameter is not of type `str`."
},
{
"lang": "es",
"value": "python-ldap es una API de cliente de protocolo de acceso a directorios (LDAP) ligera para Python. En versiones anteriores a la 3.4.5, el m\u00e9todo de saneamiento ldap.filter.escape_filter_chars puede ser enga\u00f1ado para omitir el escape de caracteres especiales cuando se suministra una \u0027list\u0027 o un \u0027dict\u0027 especialmente dise\u00f1ado como par\u00e1metro \u0027assertion_value\u0027, y se configura el \u0027escape_mode=1\u0027 no predeterminado. El m\u00e9todo ldap.filter.escape_filter_chars soporta 3 modos de escape diferentes. \u0027escape_mode=0\u0027 (predeterminado) y \u0027escape_mode=2\u0027 provocan excepciones cuando se suministra un objeto \u0027list\u0027 o \u0027dict\u0027 como par\u00e1metro \u0027assertion_value\u0027. Sin embargo, \u0027escape_mode=1\u0027 calcula sin realizar la l\u00f3gica adecuada para asegurar un valor de retorno completamente escapado. Si una aplicaci\u00f3n se basa en el m\u00e9todo vulnerable de la biblioteca python-ldap para escapar la entrada de usuario no confiable, un atacante podr\u00eda abusar de la vulnerabilidad para lanzar ataques de inyecci\u00f3n LDAP que podr\u00edan potencialmente divulgar o manipular datos LDAP destinados a ser inaccesibles para ellos. La versi\u00f3n 3.4.5 corrige el problema a\u00f1adiendo una verificaci\u00f3n de tipo al inicio del m\u00e9todo ldap.filter.escape_filter_chars para provocar una excepci\u00f3n cuando el par\u00e1metro \u0027assertion_value\u0027 suministrado no es de tipo \u0027str\u0027."
}
],
"id": "CVE-2025-61911",
"lastModified": "2026-10-19T16:10:00.260",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 2.5,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "PROOF_OF_CONCEPT",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-61911",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-14T14:57:26.403796Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-10-10T22:15:37.470",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/python-ldap/python-ldap/commit/3957526fb1852e84b90f423d9fef34c7af25b85a"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/python-ldap/python-ldap/releases/tag/python-ldap-3.4.5"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Third Party Advisory"
],
"url": "https://github.com/python-ldap/python-ldap/security/advisories/GHSA-r7r6-cc7p-4v5m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-75"
},
{
"lang": "en",
"value": "CWE-843"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
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Nomenclature
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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.
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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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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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