pyLoad has an authentication bypass in API key validation (check_apikey cache)
GHSA-r44w-v6gf-x3p6 · published 9 Oct 2026
How serious is it
- Severity: high, CVSS score 8.1 out of 10.
- No exploit prediction (EPSS) score yet.
- Not on the CISA list of exploited vulnerabilities.
- No public exploit in Exploit-DB.
Is your app affected by GHSA-r44w-v6gf-x3p6?
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Who is affected
pyload-ng(PyPI) < 0.5.0b3.dev101
How to check
- Run
pip show pyload-ngin your project to see the installed version, including copies pulled in by other packages. - Or paste your lockfile into the checker: it lists every package with a known vulnerability, this one included.
- Or run
npx shippable-dev scan localhost:3000in your project folder. It reads your lockfile and flags this vulnerability along with every other known one.
How to fix
Copies a prompt for Claude Code, Cursor or Codex: it checks your lockfiles for this and upgrades it.
- Upgrade
pyload-ngto 0.5.0b3.dev101 or later, commit the lockfile and redeploy. - If a vulnerable version was live, check your logs and rotate the secrets that server could read.
The advisory
## Summary
The API-key cache in `check_apikey()` allows an attacker to authenticate with a **forged API key** as long as the legitimate key for the same `key_id` has been used recently.
On a cache hit, the API key **secret is never verified**, resulting in a complete authentication bypass during the cache lifetime.
---
# Affected Components
- `src/pyload/core/api/init.py`
- `Api.check_apikey()`
- `src/pyload/core/database/apikey_database.py`
- `check_apikey()`
- `_check_key()`
The cache is used by normal API requests through:
- `src/pyload/webui/app/helpers.py`
which calls:
```python
api.check_apikey(api_key)
```
without providing a `ttl`, meaning the default **300-second cache** is always enabled.
---
# Root Cause
Successful API key validations are cached in:
```python
self._apikey_cache
```
using the following structure:
```python
{
key_id: (timestamp, cached_data)
}
```
The cache key is based **only on `key_id`**, and that value is parsed directly from the user-supplied API key rather than being obtained from a trusted lookup.
When a cache hit occurs within the TTL, `check_apikey()` returns:
```python
{
"success": True,
"data": cached_data
}
```
after checking only:
- `expires_at`
At no point on this execution path is the supplied secret:
```text
apikey[-43:]
```
compared against the stored key hash.
---
The actual secret verification exists only in:
```python
_check_key()
```
which correctly uses:
```python
hmac.compare_digest()
```
However, this function is only reached on a **cache miss** through the database layer's `check_apikey()` implementation.
Furthermore, the cached object cannot be used for verification because it intentionally does **not** include the stored key hash.
The cached record contains only:
- `id`
- `user_id`
- `name`
- `created_at`
- `expires_at`
- `last_used`
Since `key_hash` is absent, the cache lacks the information required to validate the presented secret.
As a result, once a legitimate request populates the cache, every subsequent request using the same `key_id` within the 300-second cache window is accepted **without validating the secret**.
---
# Impact
`key_id` values are small sequential integers assigned when API keys are created (1, 2, 3, ...), making them trivial to enumerate.
The API key format is also publicly reconstructable from the source code.
An attacker therefore does **not** need to know any valid API key secret.
They only need a `key_id` whose legitimate key has been used within the previous five minutes, which is likely on an actively used deployment.
During that cache window, a forged API key follows exactly the same authentication path as a legitimate key and inherits the associated user's permissions.
This results in a **complete remote authentication bypass**.
I would classify the issue as **Critical** severity.
---
# Estimated CVSS v3.1
```
AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
```
(`AC:H` only because successful exploitation depends on the cache already containing an entry.)
---
# Reproduction
### 1. Create an administrator account.
---
### 2. Generate an API key.
Example:
```text
pl_11<43-character-secret>
```
where:
```
key_id = 1
```
---
### 3. Send a legitimate authenticated request.
```bash
curl \
-H "X-API-Key: pl_11<real-43-char-secret>" \
http://127.0.0.1:8000/api/status
```
Expected response:
```text
HTTP/1.1 200 OK
```
---
### 4. Within 300 seconds, send the same request using a forged API key.
```bash
curl \
-H "X-API-Key: pl_11xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
http://127.0.0.1:8000/api/status
```
Observed response:
```text
HTTP/1.1 200 OK
```
The request succeeds even though the API key secret is entirely incorrect.
---
# Control Test
If the forged API key is sent **before** any legitimate request has populated the cache, the server correctly returns:
```text
HTTP/1.1 401 Unauthorized
```
The only difference between the failing and succeeding forged request is whether the cache already contains an entry for that `key_id`.
This isolates the vulnerability specifically to the cache-hit path.
---
# Suggested Fix
Cache hits should **never replace secret verification**.
Possible approaches include:
- Store a value derived from the complete API key (or its hash) in the cache and verify it using `hmac.compare_digest()` on every cache hit before returning success.
- Alternatively, key the cache using a value derived from the **entire API key secret** (for example, a cryptographic hash of the complete API key) rather than using only `key_id`.
Regardless of implementation, the security invariant should remain:
> **The API key secret must be validated on every authenticated request, regardless of whether the cache is hit or missed.**
Check your whole app
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References
- github.com/pyload/pyload/security/advisories/GHSA-r44w-v6gf-x3p6
- github.com/pyload/pyload/commit/00d1372510f915f843b1574a3f1b28fbb724a42e
- github.com/advisories/GHSA-r44w-v6gf-x3p6
Merged from GitHub Advisory Database. Last updated 23 Oct 2026. All vulnerabilities · RSS · JSON