CVE-2026-102682

Status: DeferredMedium (5.6)—

Severity5.6Medium · CVSS 3.1

Exploitation probability0.23 %higher than 13% of CVEs

Active exploitationNonot in the CISA catalog

Public exploitNot knownno public code found

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. From 0.0.98 until 1.6.0, the pipecat-ai package's built-in development runner exposes unauthenticated endpoints including /start, /daily, and /daily-dialin-webhook that can create bot sessions and Daily rooms. The runner binds to localhost by default and is intended only for local development, so exploitation requires an operator to expose it to untrusted traffic through --host 0.0.0.0, a published port, or a tunnel without access controls.

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An unauthenticated caller can consume local resources and third-party quotas and, depending on configuration, receive a room URL and join token. Version 1.6.0 adds a prominent development-runner banner and documentation that clarifies the unauthenticated boundary and directs production deployments to an authenticated dispatcher or managed runtime, while the endpoint behavior remains by design. This issue is fixed in version 1.6.0.

CVSS

Base score: 5.6
Version: 3.1
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L

Exploitation probability (EPSS)

Probability of exploitation in the next 30 days: 0.23 %
Percentile among all scored CVEs: 13
Score date: 10/21/2026

EPSS (Exploit Prediction Scoring System, FIRST) estimates how likely a vulnerability is to be exploited in the wild within 30 days. It complements CVSS (impact) and CISA KEV (confirmed exploitation).

ATT&CK techniques

How this vulnerability is exploited and what the attacker gains, in MITRE ATT&CK terms.

ExploitationT1190 Exploit Public-Facing Applicationinitial access75 %
Primary impactT1499 Endpoint Denial of Serviceimpact70 %

Vector AV:N/PR:N/UI:N aplica T1190; endpoints /start y /daily sin autenticación consumen recursos locales y cuotas de terceros, y el runner debe exponerse antes.

Inferred by our analysis agent from the official description, CVSS vector and CWE, and checked by a supervisor. May contain errors.

ATT&CK mitigations that cover these techniques

Filter Network Traffic Vulnerability Scanning Privileged Account Management Network Segmentation Limit Access to Resource Over Network Application Isolation and Sandboxing

Affected technologies (1)

⚠ AI-inferred from the description — NVD hasn't analyzed this CVE yet, these aren't verified CPEs.

Pipecat-ai — Pipecat-ai^AI

CWEs

CWE-345, CWE-770, CWE-862

References

Show 4 references

Raw JSON (NVD)

Show

{
  "id": "CVE-2026-102682",
  "cveTags": [],
  "metrics": {
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 5.6,
          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L",
          "integrityImpact": "LOW",
          "userInteraction": "NONE",
          "attackComplexity": "HIGH",
          "availabilityImpact": "LOW",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "LOW"
        },
        "impactScore": 3.4,
        "exploitabilityScore": 2.2
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "pipecat-ai",
          "product": "pipecat",
          "versions": [
            {
              "status": "affected",
              "version": ">= 0.0.98, < 1.6.0"
            }
          ]
        }
      ]
    }
  ],
  "published": "2026-10-14T19:17:05.550",
  "references": [
    {
      "url": "https://github.com/pipecat-ai/pipecat/commit/acaac3e49f50968f3ffb645a42ecc48d71c4e723",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pipecat-ai/pipecat/pull/5060",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pipecat-ai/pipecat/releases/tag/v1.6.0",
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/pipecat-ai/pipecat/security/advisories/GHSA-hqm2-cfx2-2vgh",
      "source": "security-advisories@github.com"
    }
  ],
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "type": "Primary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-345"
        },
        {
          "lang": "en",
          "value": "CWE-770"
        },
        {
          "lang": "en",
          "value": "CWE-862"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. From 0.0.98 until 1.6.0, the pipecat-ai package's built-in development runner exposes unauthenticated endpoints including /start, /daily, and /daily-dialin-webhook that can create bot sessions and Daily rooms. The runner binds to localhost by default and is intended only for local development, so exploitation requires an operator to expose it to untrusted traffic through --host 0.0.0.0, a published port, or a tunnel without access controls. An unauthenticated caller can consume local resources and third-party quotas and, depending on configuration, receive a room URL and join token. Version 1.6.0 adds a prominent development-runner banner and documentation that clarifies the unauthenticated boundary and directs production deployments to an authenticated dispatcher or managed runtime, while the endpoint behavior remains by design. This issue is fixed in version 1.6.0."
    }
  ],
  "lastModified": "2026-10-16T20:04:29.760",
  "sourceIdentifier": "security-advisories@github.com"
}