Answer in brief
CVE-2026-33154 records a High severity (CVSS 7.5) vulnerability in dynaconf Affected by Remote Code Execution (RCE) via Insecure Template Evaluation in @jinja Resolver. The current sources do not mark it as known exploited. The current feed maps dynaconf (pypi). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
CVSS is 7.5. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps dynaconf (pypi). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| dynaconfpypi | >=0 <3.2.13 | 3.2.13 |
Published upstream
Mar 18, 2026
Evidence: source:osv:source_dates:source-dates:recordSource modified
Sep 10, 2026
Evidence: source:osv:source_dates:source-dates:recordFirst seen by HOL
Sep 10, 2026
### 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 → __init__ → __globals__ → os → popen() This leads to arbitrary command execution. 2. @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)``` ``` 2. Restrict @format usage to trusted values ``` safe_value = "{name}".format(name=trusted_name) ```
Quoted source text, attributed separately from HOL analysis.