FKIE_CVE-2026-0560
Vulnerability from fkie_nvd - Published: 2026-03-29 18:16 - Updated: 2026-06-17 10:10
Severity
Summary
A Server-Side Request Forgery (SSRF) vulnerability exists in parisneo/lollms versions prior to 2.2.0, specifically in the `/api/files/export-content` endpoint. The `_download_image_to_temp()` function in `backend/routers/files.py` fails to validate user-controlled URLs, allowing attackers to make arbitrary HTTP requests to internal services and cloud metadata endpoints. This vulnerability can lead to internal network access, cloud metadata access, information disclosure, port scanning, and potentially remote code execution.
References
| URL | Tags | ||
|---|---|---|---|
| security@huntr.dev | https://github.com/parisneo/lollms/commit/76a54f0df2df8a5b254aa627d487b5dc939a0263 | Patch | |
| security@huntr.dev | https://huntr.com/bounties/65e43a5e-b902-4369-b738-1825285a3ea5 | Exploit, Issue Tracking, Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "parisneo/lollms",
"vendor": "parisneo",
"versions": [
{
"lessThan": "2.2.0",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:lollms:lollms:*:*:*:*:*:*:*:*",
"matchCriteriaId": "7118851E-5C3C-499B-BBB5-0327B7FD85AF",
"versionEndIncluding": "2.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A Server-Side Request Forgery (SSRF) vulnerability exists in parisneo/lollms versions prior to 2.2.0, specifically in the `/api/files/export-content` endpoint. The `_download_image_to_temp()` function in `backend/routers/files.py` fails to validate user-controlled URLs, allowing attackers to make arbitrary HTTP requests to internal services and cloud metadata endpoints. This vulnerability can lead to internal network access, cloud metadata access, information disclosure, port scanning, and potentially remote code execution."
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de falsificaci\u00f3n de petici\u00f3n del lado del servidor (SSRF) en las versiones de parisneo/lollms anteriores a la 2.2.0, espec\u00edficamente en el endpoint \u0027/api/files/export-content\u0027. La funci\u00f3n \u0027_download_image_to_temp()\u0027 en \u0027backend/routers/files.py\u0027 no valida las URLs controladas por el usuario, permitiendo a los atacantes realizar peticiones HTTP arbitrarias a servicios internos y endpoints de metadatos de la nube. Esta vulnerabilidad puede conducir a acceso a la red interna, acceso a metadatos de la nube, revelaci\u00f3n de informaci\u00f3n, escaneo de puertos y, potencialmente, ejecuci\u00f3n remota de c\u00f3digo."
}
],
"id": "CVE-2026-0560",
"lastModified": "2026-06-17T10:10:56.830",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security@huntr.dev",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-0560",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-30T15:33:20.974551Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-29T18:16:14.303",
"references": [
{
"source": "security@huntr.dev",
"tags": [
"Patch"
],
"url": "https://github.com/parisneo/lollms/commit/76a54f0df2df8a5b254aa627d487b5dc939a0263"
},
{
"source": "security@huntr.dev",
"tags": [
"Exploit",
"Issue Tracking",
"Third Party Advisory"
],
"url": "https://huntr.com/bounties/65e43a5e-b902-4369-b738-1825285a3ea5"
}
],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security@huntr.dev",
"type": "Secondary"
}
]
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.