GHSA-XVRR-G8Q6-2W6Q

Vulnerability from github – Published: 2026-07-24 18:31 – Updated: 2026-07-24 18:31
VLAI
Details

Likeshop through 3.0.5 contains an authenticated SQL injection vulnerability that allows admin-level users to extract arbitrary database contents by submitting unsanitized POST parameters to the adjustAccount endpoint. The adjustAccount method in UserLogic.php concatenates the money, integral, growth, and earnings parameters directly into Db::raw() SQL fragments without type casting, numeric validation, or parameter binding, enabling boolean-based binary-search extraction of credentials, PII, and session tokens via distinct success and failure response messages.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-65707"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-24T17:17:34Z",
    "severity": "HIGH"
  },
  "details": "Likeshop through 3.0.5 contains an authenticated SQL injection vulnerability that allows admin-level users to extract arbitrary database contents by submitting unsanitized POST parameters to the adjustAccount endpoint. The adjustAccount method in UserLogic.php concatenates the money, integral, growth, and earnings parameters directly into Db::raw() SQL fragments without type casting, numeric validation, or parameter binding, enabling boolean-based binary-search extraction of credentials, PII, and session tokens via distinct success and failure response messages.",
  "id": "GHSA-xvrr-g8q6-2w6q",
  "modified": "2026-07-24T18:31:29Z",
  "published": "2026-07-24T18:31:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-65707"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/peoz14/794521dc40f5bb7e6a6ec6630d894be6"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/likeshop-authenticated-sql-injection-via-adjustaccount-endpoint"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/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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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.
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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.

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