FKIE_CVE-2026-53756

Vulnerability from fkie_nvd - Published: 2026-09-04 18:17 - Updated: 2026-09-08 21:05
Summary
Emlog is an open source website building system. Prior to version 2.6.16, Emlog CMS Pro contains a blind SQL injection in User_Model::getUserDataByLogin(). The $account parameter is directly interpolated into SQL queries without any filtering. The vulnerability is reachable through the auth cookie validation path, where $username is extracted from the cookie and passed unfiltered into SQL — guarded only by an HMAC signature that requires AUTH_KEY to forge. This issue has been patched in version 2.6.16.
Impacted products
Vendor Product Version

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "emlog",
          "vendor": "emlog",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 2.6.16"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Emlog is an open source website building system. Prior to version 2.6.16, Emlog CMS Pro contains a blind SQL injection in User_Model::getUserDataByLogin(). The $account parameter is directly interpolated into SQL queries without any filtering. The vulnerability is reachable through the auth cookie validation path, where $username is extracted from the cookie and passed unfiltered into SQL \u2014 guarded only by an HMAC signature that requires AUTH_KEY to forge. This issue has been patched in version 2.6.16."
    }
  ],
  "id": "CVE-2026-53756",
  "lastModified": "2026-09-08T21:05:26.920",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 4.9,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "HIGH",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 1.2,
        "impactScore": 3.6,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-53756",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-09-08T17:42:05.509814Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-09-04T18:17:52.350",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/emlog/emlog/commit/92b6eea618891b28ed0c520564dff26e170645b4"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/emlog/emlog/releases/tag/pro-2.6.16"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/emlog/emlog/security/advisories/GHSA-xq97-53c2-vvfg"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "url": "https://github.com/emlog/emlog/security/advisories/GHSA-xq97-53c2-vvfg"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

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.


Loading…