FKIE_CVE-2026-62353

Vulnerability from fkie_nvd - Published: 2026-07-15 19:18 - Updated: 2026-07-15 20:18
Severity
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L
Summary
TDengine is a time-series database optimized for Internet of Things devices. Prior to 3.4.1.14, source/libs/parser/src/parTokenizer.c tGetToken() incremented past a trailing backslash in a SQL string literal such as 'abc\ and read one byte beyond the null terminator, allowing an authenticated user who can submit SQL queries to crash the server and possibly leak adjacent memory. This issue is fixed in version 3.4.1.14.
References
security-advisories@github.comhttps://github.com/taosdata/TDengine/security/advisories/GHSA-5r9p-3j4f-gmgp
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/taosdata/TDengine/security/advisories/GHSA-5r9p-3j4f-gmgp
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "TDengine",
          "vendor": "taosdata",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 3.4.1.14"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "TDengine is a time-series database optimized for Internet of Things devices. Prior to 3.4.1.14, source/libs/parser/src/parTokenizer.c tGetToken() incremented past a trailing backslash in a SQL string literal such as \u0027abc\\ and read one byte beyond the null terminator, allowing an authenticated user who can submit SQL queries to crash the server and possibly leak adjacent memory. This issue is fixed in version 3.4.1.14."
    }
  ],
  "id": "CVE-2026-62353",
  "lastModified": "2026-07-15T20:18:01.763",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 5.4,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 2.5,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-62353",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-07-15T19:28:48.516815Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-07-15T19:18:38.073",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/taosdata/TDengine/security/advisories/GHSA-5r9p-3j4f-gmgp"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "url": "https://github.com/taosdata/TDengine/security/advisories/GHSA-5r9p-3j4f-gmgp"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-125"
        },
        {
          "lang": "en",
          "value": "CWE-126"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.