Vulnerability-Lookup

GHSA-W2RQ-89VW-P64M

Vulnerability from github – Published: 2026-10-14 12:31 – Updated: 2026-10-14 12:31

Details

When base64 data is split up in pieces, of 3 character or less, tokens were incorrectly calculated to produce 0 bytes. This enables attackers to overwrite the stack with up to 64K of attacker controlled data. Zone files which are written out by NSD itself, such as for zones for which the NSD instance is secondary, will not be formatted like this. The zone file must be fed to NSD directly, (but it could come, for example, from an operator controlled provisioning system).

Severity

8.7 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Show details on source website

JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-101337"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-14T11:16:56Z",
    "severity": "HIGH"
  },
  "details": "When base64 data is split up in pieces, of 3 character or less, tokens were incorrectly calculated to produce 0 bytes. This enables attackers to overwrite the stack with up to 64K of attacker controlled data.  Zone files which are written out by NSD itself, such as for zones for which the NSD instance is secondary, will not be formatted like this. The zone file must be fed to NSD directly, (but it could come, for example, from an operator controlled provisioning system).",
  "id": "GHSA-w2rq-89vw-p64m",
  "modified": "2026-10-14T12:31:32Z",
  "published": "2026-10-14T12:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-101337"
    },
    {
      "type": "WEB",
      "url": "https://www.nlnetlabs.nl/downloads/nsd/CVE-2026-101337.txt"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-101337 (GCVE-0-2026-101337)

Vulnerability from cvelistv5 – Published: 2026-10-14 10:56 – Updated: 2026-10-14 14:09

Title

Stack overwrite from specially formatted base64 RDATA field

Summary

Severity

8.7 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-10-14 14:09 UTC

CWE

CWE-121 - Stack-based Buffer Overflow

Assigner

NLnet Labs CNA

CNA scorecard B 82/100 over 61 records in the last 180 days details

References

1 reference

URL	Tags
https://www.nlnetlabs.nl/downloads/nsd/CVE-2026-1…	vendor-advisory

Impacted products

1 product

Vendor	Product	Version
NLnet Labs	NSD	Affected: 4.10.0 , < 4.15.3 (semver)

Date Public

2026-10-14 12:00

Credits

Qifan Zhang from Palo Alto Networks Gaurang Maheta

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-101337",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-10-14T14:09:47.568694Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-10-14T14:09:58.370Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "NSD",
          "vendor": "NLnet Labs",
          "versions": [
            {
              "lessThan": "4.15.3",
              "status": "affected",
              "version": "4.10.0",
              "versionType": "semver"
            }
          ]
        }
      ],
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          "type": "finder",
          "value": "Gaurang Maheta"
        }
      ],
      "datePublic": "2026-10-14T12:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "When base64 data is split up in pieces, of 3 character or less, tokens were incorrectly calculated to produce 0 bytes. This enables attackers to overwrite the stack with up to 64K of attacker controlled data.  Zone files which are written out by NSD itself, such as for zones for which the NSD instance is secondary, will not be formatted like this. The zone file must be fed to NSD directly, (but it could come, for example, from an operator controlled provisioning system)."
        }
      ],
      "metrics": [
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            "baseSeverity": "HIGH",
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          },
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          "scenarios": [
            {
              "lang": "en",
              "value": "When reading zone files, a resource record with a base64 RDATA field in a specially crafted presentation format, can cause an out of bounds stack overwrite which can be exploited for execution of arbitrary command."
            }
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      ],
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      "providerMetadata": {
        "dateUpdated": "2026-10-14T10:56:15.073Z",
        "orgId": "206fc3a0-e175-490b-9eaa-a5738056c9f6",
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          "url": "https://www.nlnetlabs.nl/downloads/nsd/CVE-2026-101337.txt"
        }
      ],
      "solutions": [
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          "lang": "en",
          "value": "This issue is fixed in 4.15.3 and all later versions."
        }
      ],
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          "lang": "en",
          "time": "2026-08-13T08:12:00.000Z",
          "value": "Issue reported by Qifan Zhang"
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          "time": "2026-09-02T11:12:00.000Z",
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          "value": "NLnet Labs shares patch with Gaurang Maheta"
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          "lang": "en",
          "time": "2026-09-02T11:49:00.000Z",
          "value": "Gaurang Maheta verifies patch"
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          "lang": "en",
          "time": "2026-09-27T15:03:00.000Z",
          "value": "NLnet Labs shares patch with Qifan Zhang"
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          "lang": "en",
          "time": "2026-09-29T09:49:00.000Z",
          "value": "NLnet Labs shares updated patch with Qifan Zhang"
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          "time": "2026-10-02T02:03:00.000Z",
          "value": "Qifan Zhang verifies patch"
        },
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          "lang": "en",
          "time": "2026-10-14T12:00:00.000Z",
          "value": "Fix released with version 4.15.3"
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    "dateReserved": "2026-09-28T14:39:03.778Z",
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}

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.

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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.

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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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