GHSA-hj3v-m684-v259
MEDIUMJWX vulnerable to a denial of service attack using compressed JWE message
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
github.com/lestrrat-go/jwx/v2🐹github.com/lestrrat-go/jwxReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.
Description
Summary
This vulnerability allows an attacker with a trusted public key to cause a Denial-of-Service (DoS) condition by crafting a malicious JSON Web Encryption (JWE) token with an exceptionally high compression ratio. When this token is processed by the recipient, it results in significant memory allocation and processing time during decompression.
Details
The attacker needs to obtain a valid public key to compress the payload. It needs to be valid so that the recipient can use to successfully decompress the payload. Furthermore in context JWT processing in the v2 versions, the recipient must explicitly allow JWE handling .
The attacker then crafts a message with high compression ratio, e.g. a payload with very high frequency of repeating patterns that can decompress to a much larger size. If the payload is large enough, recipient who is decompressing the data will have to allocate a large amount of memory, which then can lead to a denial of service.
The original report includes a reference to [1], but there are some very subtle differences between this library and the aforementioned issue. The most important aspect is that the referenced issue focuses on JWT processing, whereas this library is intentionally divided into parts that comprise JOSE, i.e. JWT, JWS, JWE, JWK. In particular, v2 of this library does not attempt to handle JWT payload enveloped in a JWE message automatically (v1 attempted to do this automatically, but it was never stable).
Reflecting this subtle difference, the approach taken to mitigate this vulnerability is slightly different from the referenced issue. The referenced issue limits the size of JWT when parsing, but the fixes for this library limits the maximum size of the decompressed data when decrypting JWE messages. Therefore the fix in this library is applicable regardless of the usage context, and a limit is now imposed on the size of the message that our JWE implementation can handle.
Proof of Concept
Modified from the original report to fit the vulnerability better:
// The value below just needs to be "large enough" so that the it puts enough strain on the
// recipient's environment. The value below is a safe size on my machine to run the test
// without causing problems. When you increase the payload size, at some point the processing
// will be slow enough to virtually freeze the program or cause a memory allocation error
const payloadSize = 1 << 31
privkey, err := rsa.GenerateKey(rand.Reader, 2048)
require.NoError(t, err, `rsa.GenerateKey should succeed`)
pubkey := &privkey.PublicKey
payload := strings.Repeat("x", payloadSize)
encrypted, err := jwe.Encrypt([]byte(payload), jwe.WithKey(jwa.RSA_OAEP, pubkey), jwe.WithContentEncryption("A128CBC-HS256"), jwe.WithCompress(jwa.Deflate))
require.NoError(t, err, `jwe.Encrypt should succeed`)
_, err = jwe.Decrypt(encrypted, jwe.WithKey(jwa.RSA_OAEP, privkey)) // Will be allocating large amounts of memory
require.Error(t, err, `jwe.Decrypt should fail`)
References
[1] CVE-2024-21319
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/lestrrat-go/jwx/v2 | all versions | 2.0.21 |
| 🐹Go | github.com/lestrrat-go/jwx | all versions | 1.2.29 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/lestrrat-go/jwx/v2. 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.
Fix
Update github.com/lestrrat-go/jwx/v2 to 2.0.21 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-hj3v-m684-v259 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 pinpoints whether GHSA-hj3v-m684-v259 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 GHSA-hj3v-m684-v259. 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-hj3v-m684-v259 in your dependencies?
O3 detects GHSA-hj3v-m684-v259 across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.