GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

FKIE_CVE-2025-58357

Vulnerability from fkie_nvd - Published: 2025-09-04 10:42 - Updated: 2026-06-17 09:44
Summary
5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page's script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP servers, and exploited tool integrations. This is fixed in version 0.14.0.
Impacted products
Vendor Product Version
5ire 5ire 0.13.2

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "5ire",
          "vendor": "nanbingxyz",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 0.13.2, \u003c 0.14.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:5ire:5ire:0.13.2:*:*:*:*:*:*:*",
              "matchCriteriaId": "124E7E01-D368-463D-8795-F0C9B577B9B0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page\u0027s script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP servers, and exploited tool integrations. This is fixed in version 0.14.0."
    }
  ],
  "id": "CVE-2025-58357",
  "lastModified": "2026-06-17T09:44:21.300",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.6,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 6.0,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-58357",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-09-04T14:02:21.657418Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-09-04T10:42:32.810",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/nanbingxyz/5ire/releases/tag/v0.14.0"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/nanbingxyz/5ire/security/advisories/GHSA-8527-3cch-95gf"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "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…

Detection rules are retrieved from Rulezet.

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…