CVE-2026-65652 (GCVE-0-2026-65652)

Vulnerability from cvelistv5 – Published: 2026-09-21 11:35 – Updated: 2026-09-21 15:30
VLAI
Title
temporalio/tchannel-go malformed checksum type causes process termination
Summary
github.com/temporalio/tchannel-go did not validate the one-byte checksum-type field in inbound TChannel call frames. A network peer that can reach a listener can complete the standard initialization handshake and send a call request with an unsupported checksum type. The parser uses that value as an index into a four-entry checksum pool, causing an unrecovered Go panic on the connection read goroutine and terminating the hosting process. This allows remote denial of service against applications that expose the listener to untrusted peers. The impact is limited to availability; no confidentiality or integrity impact was identified.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-21 15:29 UTC
CWE
  • CWE-129 - Improper Validation of Array Index
Impacted products
Vendor Product Version CPE status
Temporal Technologies, Inc. temporalio/tchannel-go Affected: 0.0.0-20160105034737-a6904155f628 , < 1.22.1-0.20260720194454-0cb017f6870a (semver)
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Show details on NVD website

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                  "base64": false,
                  "type": "text/html",
                  "value": "\u003cp\u003eUpgrade github.com/temporalio/tchannel-go to v1.22.1 or later. The fix rejects unsupported checksum types during direct and relay frame parsing and prevents out-of-range checksum-pool access.\u003c/p\u003e"
                }
              ],
              "value": "Upgrade github.com/temporalio/tchannel-go to v1.22.1 or later. The fix rejects unsupported checksum types during direct and relay frame parsing and prevents out-of-range checksum-pool access."
            }
          ],
          "source": {
            "discovery": "EXTERNAL"
          },
          "title": "temporalio/tchannel-go malformed checksum type causes process termination",
          "workarounds": [
            {
              "lang": "en",
              "supportingMedia": [
                {
                  "base64": false,
                  "type": "text/html",
                  "value": "\u003cp\u003eRestrict TChannel listener access to trusted peers. Where supported by the embedding application, require mutually authenticated TLS so peers without a trusted client certificate are rejected before TChannel frame parsing. External panic-recovery middleware is not a reliable mitigation because the panic occurs on a library-created connection goroutine.\u003c/p\u003e"
                }
              ],
              "value": "Restrict TChannel listener access to trusted peers. Where supported by the embedding application, require mutually authenticated TLS so peers without a trusted client certificate are rejected before TChannel frame parsing. External panic-recovery middleware is not a reliable mitigation because the panic occurs on a library-created connection goroutine."
            }
          ]
        }
      },
      "cveMetadata": {
        "assignerOrgId": "61241ed8-fa44-4f23-92db-b8c443751968",
        "assignerShortName": "Temporal",
        "cveId": "CVE-2026-65652",
        "datePublished": "2026-09-21T11:35:40.896Z",
        "dateReserved": "2026-07-22T18:08:48.925Z",
        "dateUpdated": "2026-09-21T15:30:00.325Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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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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  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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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.


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