GHSA-5478-66c3-rhxr — @chenglou/pretext
GHSA-5478-66c3-rhxr is a security vulnerability in @chenglou/pretext. A fix is available for @chenglou/pretext — see the affected versions and patch details below.
Pretext: Algorithmic Complexity (DoS) in the text analysis phase
Real-World Exposure
How broadly this vulnerability is actually deployed: weekly install volume shows current usage, and reverse-dependency count shows how many other packages break if it stays unpatched.
@chenglou/pretextnpmDescription
isRepeatedSingleCharRun() in src/analysis.ts (line 285) re-scans the entire accumulated segment on every merge iteration during text analysis, producing O(n²) total work for input consisting of repeated identical punctuation characters. An attacker who controls text passed to prepare() can block the main thread for ~20 seconds with 80KB of input (e.g., "(".repeat(80_000)).
Tested against commit 9364741d3562fcc65aacc50953e867a5cb9fdb23 (v0.0.4) on Node.js v24.12.0, Windows x64.
A standalone PoC and detailed write-up are attached below.
Root Cause
The buildMergedSegmentation() function (line 795) processes text segments produced by Intl.Segmenter. When consecutive non-word-like segments consist of the same single character (e.g., (, [, !, #), the code merges them into one growing segment (line 859):
// analysis.ts:849-859 - the merge branch inside the build loop
} else if (
isText &&
!piece.isWordLike &&
mergedLen > 0 &&
mergedKinds[mergedLen - 1] === 'text' &&
piece.text.length === 1 &&
piece.text !== '-' &&
piece.text !== '—' &&
isRepeatedSingleCharRun(mergedTexts[mergedLen - 1]!, piece.text) // <- O(n) per call
) {
mergedTexts[mergedLen - 1] += piece.text // append to accumulator
Before each merge, it calls isRepeatedSingleCharRun() (line 857) to verify that ALL characters in the accumulated segment match the new character:
// analysis.ts:285-291
function isRepeatedSingleCharRun(segment: string, ch: string): boolean {
if (segment.length === 0) return false
for (const part of segment) { // <- Iterates ENTIRE accumulated string
if (part !== ch) return false
}
return true
}
Intl.Segmenter with granularity: 'word' produces individual non-word segments for each punctuation character. For a string of N identical punctuation characters, the merge check is called N times. On the k-th call, the accumulated segment is k characters long, so isRepeatedSingleCharRun performs k comparisons.
Total work: 1 + 2 + 3 + ... + N = N(N+1)/2 = O(n^2)
Call chain
prepare(text, font) // layout.ts:472
-> prepareInternal(text, font, ...) // layout.ts:424
-> analyzeText(text, profile, whiteSpace='normal') // layout.ts:430 -> analysis.ts:993
-> buildMergedSegmentation(normalized, profile, ...) // analysis.ts:1013 -> analysis.ts:795
-> for each Intl.Segmenter segment:
-> isRepeatedSingleCharRun(accumulated, newChar) // line 857 -> line 285
-> iterates entire accumulated string // O(k) per call, k growing
Proof of Concept
The simplest payload is a string of repeated ( characters:
import { prepare } from '@chenglou/pretext'
// 80,000 characters -> ~20 seconds of main-thread blocking
const payload = '('.repeat(80_000)
prepare(payload, '16px Arial') // Blocks for ~20 seconds
Any single character that meets these criteria works:
- Classified as
'text'byclassifySegmentBreakChar(analysis.ts:321) - i.e., not a space, NBSP, ZWSP, soft-hyphen, tab, or newline - Produced as individual non-word segments by
Intl.Segmenter(word granularity) - Not
-or em-dash (explicitly excluded at lines 855-856)
Working payload characters include: (, [, {, #, @, !, %, ^, ~, <, >, etc.
Impact
- Chat/messaging applications: User sends an 80KB message of
(characters; the receiving client's UI thread freezes for ~20 seconds while rendering. - Comment/form systems: User-supplied text in any text field that uses
pretextfor layout measurement blocks the main thread. - Server-side rendering: If
prepare()is called server-side (Node.js/Bun), a single request can consume 20+ seconds of CPU time per 80KB of payload.
The attack requires no authentication, special characters, or encoding tricks - just repeated ASCII punctuation. 80KB is well within typical text input limits.
As an application-level mitigation, callers can cap the length of text passed to
prepare() before a library-level fix is available.
Suggested Fix
Replace the O(n) full-scan verification with O(1) constant-time checks. Since the merge only ever appends the same character to an existing repeated-char run, the invariant is maintained structurally:
Option A - Check only endpoints (O(1)):
function isRepeatedSingleCharRun(segment: string, ch: string): boolean {
return segment.length > 0 && segment[0] === ch && segment[segment.length - 1] === ch
}
This works for the current code because this branch only fires after earlier merge branches (CJK, Myanmar, Arabic) have been skipped, and those branches produce segments that would not start and end with the same ASCII punctuation character. However, the safety relies on an emergent property of the branch ordering and the other merge branches. Future refactors that add new merge branches or reorder the existing ones could silently break the invariant.
Option B - Track with metadata
Add a boolean lastMergeWasSingleCharRun alongside the accumulator arrays. Set it to true when a single-char merge succeeds, false when any other merge branch is taken. Check the flag instead of re-scanning the string.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦npm | @chenglou/pretext | all versions | 0.0.5npm install @chenglou/pretext@0.0.5 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for @chenglou/pretext, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update @chenglou/pretext to 0.0.5 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-5478-66c3-rhxr is resolved across your whole dependency graph.
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.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-5478-66c3-rhxr can be triaged on real exposure rather than presence alone.
Tailored to GHSA-5478-66c3-rhxr. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-5478-66c3-rhxr in your dependencies?
O3 Security finds GHSA-5478-66c3-rhxr across npm dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.