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🐍 PyPI

GHSA-pxrr-hq57-q35p

HIGH

dynaconf Affected by Remote Code Execution (RCE) via Insecure Template Evaluation in @jinja Resolver

Also known asCVE-2026-33154
Published
Mar 18, 2026
Updated
Apr 14, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.5%probability of exploitation in next 30 days
Lower Risk40th percentile+0.50%
0.00%0.34%0.68%1.03%0.1%0.0%0.0%0.5%Apr 26Jun 26Jun 26

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

1 pkg affected
🐍dynaconf

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

Dynaconf is vulnerable to Server-Side Template Injection (SSTI) due to unsafe template evaluation in the @jinja resolver. When the jinja2 package is installed, Dynaconf evaluates template expressions embedded in configuration values without a sandboxed environment.

If an attacker can influence configuration sources such as: environment variables .env files container environment configuration CI/CD secrets they can execute arbitrary OS commands on the host system. In addition, the @format resolver allows object graph traversal, which may expose sensitive runtime objects and environment variables.

Details

The vulnerability arises because Dynaconf's string resolvers lack proper security boundaries.

  1. @jinja Resolver The @jinja resolver renders templates using full Jinja2 evaluation. However, the rendering context is not sandboxed, which allows attackers to access Python's internal attributes. Using objects such as cycler, attackers can reach Python's globals and import the os module.

Example attack path cycler → initglobals → os → popen() This leads to arbitrary command execution.

  1. @format Resolver The @format resolver performs Python string formatting using internal objects. This allows attackers to traverse Python's object graph and access sensitive runtime objects. Example traversal: {this.class.init.globals[os].environ} This can expose
  • API keys
  • database credentials
  • internal service tokens
  • environment secrets

PoC

import os
from dynaconf import Dynaconf
# Malicious configuration injection
os.environ["DYNACONF_RCE"] = "@jinja {{ cycler.__init__.__globals__.os.popen('id').read() }}"
settings = Dynaconf()
print("[!] Command Execution Result:")
print(settings.RCE)

Impact

Successful exploitation allows attackers to:

  • Execute arbitrary OS commands on the host system
  • Access sensitive environment variables
  • Compromise application secrets
  • Fully compromise the running application process Because configuration values may originate from CI/CD pipelines, container orchestration systems, or environment injection, this vulnerability can become remotely exploitable in real-world deployments.

Remediation / Mitigation (Examples)

  1. Use Jinja2 sandbox for template rendering
from jinja2.sandbox import SandboxedEnvironment
env = SandboxedEnvironment()
template = env.from_string("{{ config_value }}")
safe_value = template.render(config_value=user_input)```
  1. Restrict @format usage to trusted values
safe_value = "{name}".format(name=trusted_name)

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIdynaconfall versions3.2.13

Detection & mitigation playbook

Open-source dependency
  1. Detect

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

    Update dynaconf to 3.2.13 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-pxrr-hq57-q35p 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 pinpoints whether GHSA-pxrr-hq57-q35p 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-pxrr-hq57-q35p. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Summary Dynaconf is vulnerable to Server-Side Template Injection (SSTI) due to unsafe template evaluation in the @jinja resolver. When the jinja2 package is installed, Dynaconf evaluates template expressions embedded in configuration values without a sandboxed environment. If an attacker can influence configuration sources such as: environment variables .env files container environment configuration CI/CD secrets they can execute arbitrary OS commands on the host system. In addition, the @format resolver allows object graph traversal, which may expose sensitive runtime objects and environ
O3 Security · Impact-Aware SCA

Is GHSA-pxrr-hq57-q35p in your dependencies?

O3 detects GHSA-pxrr-hq57-q35p across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.