FKIE_CVE-2026-16261

Vulnerability from fkie_nvd - Published: 2026-08-02 06:16 - Updated: 2026-08-26 16:31
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
The login-social WordPress plugin through 1.0.4 does not validate password-reset requests against a reset key or the requester's identity, and it issues authentication sessions from unverified third-party sign-in data, allowing unauthenticated attackers to reset any user's password or log in as any existing account, including administrators, and take over the site.
References
contact@wpscan.comhttps://wpscan.com/vulnerability/533f9347-e7cd-4a86-8cb5-f6d4aaaf4dd1/
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unknown",
          "product": "login-social",
          "vendor": "Unknown",
          "versions": [
            {
              "lessThanOrEqual": "1.0.4",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "contact@wpscan.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The login-social WordPress plugin through 1.0.4 does not validate password-reset requests against a reset key or the requester\u0027s identity, and it issues authentication sessions from unverified third-party sign-in data, allowing unauthenticated attackers to reset any user\u0027s password or log in as any existing account, including administrators, and take over the site."
    }
  ],
  "id": "CVE-2026-16261",
  "lastModified": "2026-08-26T16:31:36.750",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-16261",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-08-03T17:43:37.503364Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-08-02T06:16:39.450",
  "references": [
    {
      "source": "contact@wpscan.com",
      "url": "https://wpscan.com/vulnerability/533f9347-e7cd-4a86-8cb5-f6d4aaaf4dd1/"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-287"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



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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.
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  • 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.



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.