Vulnerability Database

347,955

Total vulnerabilities in the database

uuid: Missing buffer bounds check in v3/v5/v6 when buf is provided — @types / uuid

Improper Validation of Specified Index, Position, or Offset in Input

Summary

v3, v5, and v6 accept external output buffers but do not reject out-of-range writes (small buf or large offset).
By contrast, v4, v1, and v7 explicitly throw RangeError on invalid bounds.

This inconsistency allows silent partial writes into caller-provided buffers.

Affected code

  • src/v35.ts (v3/v5 path) writes buf[offset + i] without bounds validation.
  • src/v6.ts writes buf[offset + i] without bounds validation.

Reproducible PoC

cd /home/StrawHat/uuid npm ci npm run build node --input-type=module -e " import {v4,v5,v6} from './dist-node/index.js'; const ns='6ba7b810-9dad-11d1-80b4-00c04fd430c8'; for (const [name,fn] of [ ['v4',()=>v4({},new Uint8Array(8),4)], ['v5',()=>v5('x',ns,new Uint8Array(8),4)], ['v6',()=>v6({},new Uint8Array(8),4)], ]) { try { fn(); console.log(name,'NO_THROW'); } catch(e){ console.log(name,'THREW',e.name); } }"

Observed:

  • v4 THREW RangeError
  • v5 NO_THROW
  • v6 NO_THROW

Example partial overwrite evidence captured during audit:

same true buf [ 170, 170, 170, 170, 75, 224, 100, 63 ] v6 [ 187, 187, 187, 187, 31, 19, 185, 64 ]

Security impact

  • Primary: integrity/robustness issue (silent partial output).
  • If an application assumes full UUID writes into preallocated buffers, this can produce malformed/truncated/partially stale identifiers without error.
  • In systems where caller-controlled offsets/buffer sizes are exposed indirectly, this may become a security-relevant logic flaw.

Suggested fix

Add the same guard used by v4/v1/v7:

if (offset < 0 || offset + 16 > buf.length) { throw new RangeError(`UUID byte range ${offset}:${offset + 15} is out of buffer bounds`); }

Apply to:

  • src/v35.ts (covers v3 and v5)
  • src/v6.ts

No technical information available.

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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