GHSA-X8F4-GHF2-WCMP
Vulnerability from github – Published: 2026-10-01 12:31 – Updated: 2026-10-01 12:31
VLAI
Details
Ghost versions from 3.20.2 before 6.51.0 contain a server-side request forgery vulnerability in image dimension refetching that allows authenticated staff users to trigger outbound HTTP requests to arbitrary URLs. Attackers can point image cards at attacker-controlled hosts or internal network endpoints to access metadata services and internal resources unavailable from the public internet.
Severity
6.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-103291"
],
"database_specific": {
"cwe_ids": [
"CWE-918"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-10-01T11:17:25Z",
"severity": "MODERATE"
},
"details": "Ghost versions from 3.20.2 before 6.51.0 contain a server-side request forgery vulnerability in image dimension refetching that allows authenticated staff users to trigger outbound HTTP requests to arbitrary URLs. Attackers can point image cards at attacker-controlled hosts or internal network endpoints to access metadata services and internal resources unavailable from the public internet.",
"id": "GHSA-x8f4-ghf2-wcmp",
"modified": "2026-10-01T12:31:19Z",
"published": "2026-10-01T12:31:19Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/TryGhost/Ghost/security/advisories/GHSA-rrq6-9r3c-7w26"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-103291"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/ghost-3.20.2-before-6.51.0-ssrf-via-image-size-fetch"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:N/SC:L/SI:L/SA:N/E:X/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",
"type": "CVSS_V4"
}
]
}
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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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