Vulnerability-Lookup

GHSA-25FX-HHX2-XWQ3

Vulnerability from github – Published: 2026-10-12 18:31 – Updated: 2026-10-12 18:31

Details

Thelia 3.0.0's back-office Email/Messages feature contains a server‑side template injection (SSTI) flaw that allows any authenticated user with the “Messages” permission to supply unsandboxed Twig templates, which are then compiled and executed as raw code. By modifying Message content, an attacker can execute arbitrary PHP functions, read sensitive files, and potentially write to the filesystem, leading to full compromise of the application and underlying host. This vulnerability has been patched in thelia/twig-engine-module 1.0.9.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-107248"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-12T16:17:03Z",
    "severity": null
  },
  "details": "Thelia 3.0.0\u0027s back-office Email/Messages feature contains a server\u2011side template injection (SSTI) flaw that allows any authenticated user with the \u201cMessages\u201d permission to supply unsandboxed Twig templates, which are then compiled and executed as raw code. By modifying Message content, an attacker can execute arbitrary PHP functions, read sensitive files, and potentially write to the filesystem, leading to full compromise of the application and underlying host. This vulnerability has been patched in thelia/twig-engine-module 1.0.9.",
  "id": "GHSA-25fx-hhx2-xwq3",
  "modified": "2026-10-12T18:31:32Z",
  "published": "2026-10-12T18:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-107248"
    },
    {
      "type": "WEB",
      "url": "https://kb.cert.org/vuls/id/162329"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2026-107248 (GCVE-0-2026-107248)

Vulnerability from cvelistv5 – Published: 2026-10-12 15:06 – Updated: 2026-10-12 15:06

Title

CVE-2026-107248

Summary

Severity

No CVSS data available.

CWE

Assigner

certcc CNA under the mitre root

CNA scorecard E 42/100 over 156 records in the last 180 days details

References

1 reference

URL	Tags
https://kb.cert.org/vuls/id/162329

Impacted products

1 product

Vendor	Product	Version
Thelia	Thelia	Affected: 3.0.0

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{
  "containers": {
    "cna": {
      "affected": [
        {
          "product": "Thelia",
          "vendor": "Thelia",
          "versions": [
            {
              "status": "affected",
              "version": "3.0.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Thelia 3.0.0\u0027s back-office Email/Messages feature contains a server\u2011side template injection (SSTI) flaw that allows any authenticated user with the \u201cMessages\u201d permission to supply unsandboxed Twig templates, which are then compiled and executed as raw code. By modifying Message content, an attacker can execute arbitrary PHP functions, read sensitive files, and potentially write to the filesystem, leading to full compromise of the application and underlying host. This vulnerability has been patched in thelia/twig-engine-module 1.0.9."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "CWE-1336 Improper Neutralization of Special Elements Used in a Template Engine",
              "lang": "en"
            }
          ]
        },
        {
          "descriptions": [
            {
              "description": "CWE-94 Improper Control of Generation of Code (\u0027Code Injection\u0027)",
              "lang": "en"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-12T15:06:55.302Z",
        "orgId": "37e5125f-f79b-445b-8fad-9564f167944b",
        "shortName": "certcc"
      },
      "references": [
        {
          "url": "https://kb.cert.org/vuls/id/162329"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "CVE-2026-107248",
      "x_generator": {
        "engine": "VINCE 3.0.50",
        "env": "prod",
        "origin": "https://cveawg.mitre.org/api/cve/CVE-2026-107248"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "37e5125f-f79b-445b-8fad-9564f167944b",
    "assignerShortName": "certcc",
    "cveId": "CVE-2026-107248",
    "datePublished": "2026-10-12T15:06:55.302Z",
    "dateReserved": "2026-10-07T15:19:06.002Z",
    "dateUpdated": "2026-10-12T15:06:55.302Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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

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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.

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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