FKIE_CVE-2025-51591
Vulnerability from fkie_nvd - Published: 2025-07-11 14:15 - Updated: 2026-07-05 17:17
Severity
Summary
A Server-Side Request Forgery (SSRF) in JGM Pandoc v3.6.4 allows attackers to gain access to and compromise the whole infrastructure via injecting a crafted iframe. Note: Some users have stated that Pandoc by default can retrieve and parse untrusted HTML content which can enable SSRF vulnerabilities. Using the ‘--sandbox’ option or ‘pandoc-server’ can mitigate such vulnerabilities. Using pandoc with an external ‘--pdf-engine’ can also enable SSRF vulnerabilities, such as CVE-2022-35583 in wkhtmltopdf.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A Server-Side Request Forgery (SSRF) in JGM Pandoc v3.6.4 allows attackers to gain access to and compromise the whole infrastructure via injecting a crafted iframe. Note: Some users have stated that Pandoc by default can retrieve and parse untrusted HTML content which can enable SSRF vulnerabilities. Using the \u2018--sandbox\u2019 option or \u2018pandoc-server\u2019 can mitigate such vulnerabilities. Using pandoc with an external \u2018--pdf-engine\u2019 can also enable SSRF vulnerabilities, such as CVE-2022-35583 in wkhtmltopdf."
},
{
"lang": "es",
"value": "Server-Side Request Forgery (SSRF) en JGM Pandoc v3.6.4 permite a los atacantes obtener acceso y comprometer toda la infraestructura mediante la inyecci\u00f3n de un iframe manipulado espec\u00edficamente."
}
],
"id": "CVE-2025-51591",
"lastModified": "2026-07-05T17:17:15.480",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3.7,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 1.4,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-51591",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-07T15:56:45.462102Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-07-11T14:15:27.347",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/RealestName/Vulnerability-Research/tree/main/CVE-2025-51591"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/jgm/pandoc/discussions/11200"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/jgm/pandoc/issues/10682"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/jgm/pandoc/issues/11261"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/jgm/pandoc/issues/8874"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/jgm/pandoc/pull/11262"
},
{
"source": "cve@mitre.org",
"url": "https://www.wiz.io/blog/imds-anomaly-hunting-zero-day"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/jgm/pandoc/commit/67edf7ce7cd3563a180ae44bd122b012e22364f8"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/jgm/pandoc/issues/10682"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://pandoc.org"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://www.wiz.io/blog/imds-anomaly-hunting-zero-day"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "not-applicable:http://jgm.com/"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "not-applicable:http://pandoc.com/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
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.
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.
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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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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.