---
cve: "CVE-2026-45357"
severity: "HIGH"
cvss: 7.5
epss: "39%"
vendor: "harttle"
kev: false
exploited: false
published: "2026-06-17 23:17:03"
tags: [cve, security, high]
source: tsecurity.de CVE-Dossier
exported: "2026-09-04T18:54:31+02:00"
---

# CVE-2026-45357

> 7.5 HIGH · 🧪 PoC

## Beschreibung

LiquidJS is a Shopify/GitHub Pages compatible template engine written in pure JavaScript. In versions 10.25.7 and below, the date filter's strftime implementation parses width specifiers like %9999999d and forwards the captured width unchecked into pad()/padStart(), leading to memory and render limit bypass. In src/util/underscore.ts, the pad loop performs unbounded string concatenation without consulting the Context's memoryLimit or renderLimit, so a single small template ({{ x | date: '%5000000d' }}) produces megabytes of output and unbounded CPU. The memoryLimit and renderLimit options the docs (src/liquid-options.ts:87-92) advertise as DoS controls — and which the docstring explicitly mentions for strftime — are entirely bypassed. Exploitation can cause large memory allocations, high CPU usage, or OOM crashes per render. This issue has been fixed in version 10.26.0.

## CVSS-Vektor

```
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
```

| Metrik | Wert | Bewertung |
|---|---|---|
| AV Angriffsvektor | Netzwerk | bad |
| AC Komplexität | Gering | bad |
| PR Privilegien | Keine | bad |
| UI Interaktion | Keine | bad |
| S Scope | Unverändert | good |
| C Vertraulichkeit | Keine | good |
| I Integrität | Keine | good |
| A Verfügbarkeit | Hoch | bad |

## Patch verfügbar (OSV)

- 3129d46dc95efa357b00e5a57ee1af80a13d72ed (Commit)
- c20c0af02d33e8d2ca6b08925eadca8755257c39 (Commit)

## Referenzen

- <https://github.com/harttle/liquidjs/security/advisories/GHSA-hh27-hf48-9f5q>
- <https://github.com/harttle/liquidjs/commit/3129d46dc95efa357b00e5a57ee1af80a13d72ed>
- <https://github.com/harttle/liquidjs/releases/tag/v10.26.0>

---
_Exportiert aus dem [tsecurity.de CVE-Dossier](https://tsecurity.de/cve?cve=CVE-2026-45357) · Datenquellen: EUVD (ENISA), NVD, OSV, CISA KEV, FIRST EPSS, Exploit-DB, BSI BITS_