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CVE-2026-29112

HIGH

CVE-2026-29112 is a high-severity (CVSS 7.5) CWE-770 vulnerability in @dicebear/converter. O3 Security confirms whether CVE-2026-29112 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

@dicebear/converter vulnerable to ncontrolled memory allocation via crafted SVG dimensions

Also known asGHSA-v3r3-4qgc-vw66
Published
Mar 18, 2026
Updated
Jul 15, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

Blast Radius

1 pkg affected

Weekly download volume for affected packages — a proxy for how broadly this vulnerability is deployed.

@dicebear/converternpm
12Kdownloads / week

Description

DiceBear is an avatar library for designers and developers. Prior to version 9.4.0, the ensureSize() function in @dicebear/converter read the width and height attributes from the input SVG to determine the output canvas size for rasterization (PNG, JPEG, WebP, AVIF). An attacker who can supply a crafted SVG with extremely large dimensions (e.g. width="999999999") could force the server to allocate excessive memory, leading to denial of service. This primarily affects server-side applications that pass untrusted or user-supplied SVGs to the converter's toPng(), toJpeg(), toWebp(), or toAvif() functions. Applications that only convert self-generated DiceBear avatars are not practically exploitable, but are still recommended to upgrade. This is fixed in version 9.4.0. The ensureSize() function no longer reads SVG attributes to determine output size. Instead, a new size option (default: 512, max: 2048) controls the output dimensions. Invalid values (NaN, negative, zero, Infinity) fall back to the default. If upgrading is not immediately possible, validate and sanitize the width and height attributes of any untrusted SVG input before passing it to the converter.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
📦npm@dicebear/converterall versions9.4.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for @dicebear/converter. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update @dicebear/converter to 9.4.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-29112 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether CVE-2026-29112 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to CVE-2026-29112. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

DiceBear is an avatar library for designers and developers. Prior to version 9.4.0, the `ensureSize()` function in `@dicebear/converter` read the `width` and `height` attributes from the input SVG to determine the output canvas size for rasterization (PNG, JPEG, WebP, AVIF). An attacker who can supply a crafted SVG with extremely large dimensions (e.g. `width="999999999"`) could force the server to allocate excessive memory, leading to denial of service. This primarily affects server-side applications that pass untrusted or user-supplied SVGs to the converter's `toPng()`, `toJpeg()`, `toWebp()
O3 Security · Impact-Aware SCA

Is CVE-2026-29112 in your dependencies?

O3 detects CVE-2026-29112 across npm dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.