Vulnerability-Lookup

GHSA-RM6M-H4M2-65R3

Vulnerability from github – Published: 2026-09-18 09:31 – Updated: 2026-09-18 09:31

Details

The GPTranslate – Multilingual AI Translation Agent for WordPress: Translate Your Site with AI plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 2.34.6 via the enqueue_frontend_scripts. This makes it possible for unauthenticated attackers to extract the plaintext third-party AI provider API key (OpenAI, DeepL, xAI/Grok, Gemini, Claude, or Google Cloud Translation) — a credential granting billed account access — by fetching any public page and applying the inverse transformation bundled in the plugin's own public JavaScript asset. This exposure affects the default configuration (gpt-3.5-turbo in client mode) and all supported non-DeepSeek providers; only deepseek- models and gpt- models configured in server-proxy mode correctly suppress key emission.

Severity

5.3 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Show details on source website

JSON

To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2026-89278"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-18T07:16:51Z",
    "severity": "MODERATE"
  },
  "details": "The GPTranslate \u2013 Multilingual AI Translation Agent for WordPress: Translate Your Site with AI plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 2.34.6 via the enqueue_frontend_scripts. This makes it possible for unauthenticated attackers to extract the plaintext third-party AI provider API key (OpenAI, DeepL, xAI/Grok, Gemini, Claude, or Google Cloud Translation) \u2014 a credential granting billed account access \u2014 by fetching any public page and applying the inverse transformation bundled in the plugin\u0027s own public JavaScript asset. This exposure affects the default configuration (gpt-3.5-turbo in client mode) and all supported non-DeepSeek providers; only deepseek-* models and gpt-* models configured in server-proxy mode correctly suppress key emission.",
  "id": "GHSA-rm6m-h4m2-65r3",
  "modified": "2026-09-18T09:31:06Z",
  "published": "2026-09-18T09:31:06Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-89278"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/gptranslate/tags/2.34.6/gptranslate.php#L2142"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/gptranslate/tags/2.34.6/gptranslate.php#L2205"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3693232%40gptranslate\u0026new=3693232%40gptranslate"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/b7676362-4373-4c9a-b3cd-73fad9ff5477?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-89278 (GCVE-0-2026-89278)

Vulnerability from cvelistv5 – Published: 2026-09-18 06:38 – Updated: 2026-09-18 06:38

Title

GPTranslate <= 2.34.6 - Unauthenticated Sensitive Information Exposure in Public Frontend Inline Script

Summary

The GPTranslate – Multilingual AI Translation Agent for WordPress: Translate Your Site with AI plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 2.34.6 via the enqueue_frontend_scripts. This makes it possible for unauthenticated attackers to extract the plaintext third-party AI provider API key (OpenAI, DeepL, xAI/Grok, Gemini, Claude, or Google Cloud Translation) — a credential granting billed account access — by fetching any public page and applying the inverse transformation bundled in the plugin's own public JavaScript asset. This exposure affects the default configuration (gpt-3.5-turbo in client mode) and all supported non-DeepSeek providers; only deepseek-* models and gpt-* models configured in server-proxy mode correctly suppress key emission.

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

CWE

CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor

Assigner

Wordfence mitre root

References

4 references

URL	Tags
https://www.wordfence.com/threat-intel/vulnerabil…
https://plugins.trac.wordpress.org/browser/gptran…
https://plugins.trac.wordpress.org/browser/gptran…
https://plugins.trac.wordpress.org/changeset?repo…

Impacted products

1 product

Vendor	Product	Version
john-dagelmore	GPTranslate – Multilingual AI Translation Agent for WordPress: Translate Your Site with AI	Affected: 0 , ≤ 2.34.6 (semver)

Credits

Supakiad S. (m3ez)

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "GPTranslate \u2013 Multilingual AI Translation Agent for WordPress: Translate Your Site with AI",
          "vendor": "john-dagelmore",
          "versions": [
            {
              "lessThanOrEqual": "2.34.6",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "Supakiad S. (m3ez)"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "The GPTranslate \u2013 Multilingual AI Translation Agent for WordPress: Translate Your Site with AI plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 2.34.6 via the enqueue_frontend_scripts. This makes it possible for unauthenticated attackers to extract the plaintext third-party AI provider API key (OpenAI, DeepL, xAI/Grok, Gemini, Claude, or Google Cloud Translation) \u2014 a credential granting billed account access \u2014 by fetching any public page and applying the inverse transformation bundled in the plugin\u0027s own public JavaScript asset. This exposure affects the default configuration (gpt-3.5-turbo in client mode) and all supported non-DeepSeek providers; only deepseek-* models and gpt-* models configured in server-proxy mode correctly suppress key emission."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-200",
              "description": "CWE-200 Exposure of Sensitive Information to an Unauthorized Actor",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-09-18T06:38:56.059Z",
        "orgId": "b15e7b5b-3da4-40ae-a43c-f7aa60e62599",
        "shortName": "Wordfence"
      },
      "references": [
        {
          "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/b7676362-4373-4c9a-b3cd-73fad9ff5477?source=cve"
        },
        {
          "url": "https://plugins.trac.wordpress.org/browser/gptranslate/tags/2.34.6/gptranslate.php#L2205"
        },
        {
          "url": "https://plugins.trac.wordpress.org/browser/gptranslate/tags/2.34.6/gptranslate.php#L2142"
        },
        {
          "url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3693232%40gptranslate\u0026new=3693232%40gptranslate"
        }
      ],
      "timeline": [
        {
          "lang": "en",
          "time": "2026-09-11T19:33:38.000Z",
          "value": "Vendor Notified"
        },
        {
          "lang": "en",
          "time": "2026-09-17T00:00:00.000Z",
          "value": "Disclosed"
        }
      ],
      "title": "GPTranslate \u003c= 2.34.6 - Unauthenticated Sensitive Information Exposure in Public Frontend Inline Script"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "b15e7b5b-3da4-40ae-a43c-f7aa60e62599",
    "assignerShortName": "Wordfence",
    "cveId": "CVE-2026-89278",
    "datePublished": "2026-09-18T06:38:56.059Z",
    "dateReserved": "2026-09-11T11:15:53.864Z",
    "dateUpdated": "2026-09-18T06:38:56.059Z",
    "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.

Detection rules are retrieved from Rulezet.

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.