FKIE_CVE-2026-12375

Vulnerability from fkie_nvd - Published: 2026-07-07 06:16 - Updated: 2026-07-07 14:16
Summary
The uncanny-automator-pro WordPress plugin before 7.3.0.6 was distributed with malicious code after the vendor's uncanny-automator-pro WordPress plugin before 7.3.0.6 update/distribution infrastructure was compromised; the injected backdoor grants unauthenticated attackers an administrator session on affected sites and beacons the site's secret keys and administrator details to attacker-controlled servers.
Impacted products
Vendor Product Version

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "uncanny-automator-pro",
          "vendor": "Unknown",
          "versions": [
            {
              "lessThan": "7.3.0.6",
              "status": "affected",
              "version": "7.3.0.5",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "contact@wpscan.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The uncanny-automator-pro WordPress plugin before 7.3.0.6 was distributed with malicious code after the vendor\u0027s uncanny-automator-pro WordPress plugin before 7.3.0.6 update/distribution infrastructure was compromised; the injected backdoor grants unauthenticated attackers an administrator session on affected sites and beacons the site\u0027s secret keys and administrator details to attacker-controlled servers."
    }
  ],
  "id": "CVE-2026-12375",
  "lastModified": "2026-07-07T14:16:28.297",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-12375",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-07-07T13:15:12.244680Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-07-07T06:16:22.003",
  "references": [
    {
      "source": "contact@wpscan.com",
      "url": "https://wpscan.com/vulnerability/ddc83705-3df6-427c-957b-935135330f73/"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Deferred"
}



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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

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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.
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  • 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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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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