CVE-2026-40113: PraisonAI has an Argument Injection into Cloud Run Environment Variables via Unsanitized Comma in gcloud --set-env-vars

Published Apr 9, 2026
·
Updated

Summary

deploy.py constructs a single comma-delimited string for the gcloud run deploy --set-env-vars argument by directly interpolating openaimodel, openaikey, and openaibase without validating that these values do not contain commas. gcloud uses a comma as the key-value pair separator for --set-env-vars. A comma in any of the three values causes gcloud to parse the trailing text as additional KEY=VALUE definitions, injecting arbitrary environment variables into the deployed Cloud Run service.

Grep Commands and Evidence

Step 1. Confirm the vulnerable string construction at line 150 grep -n "set-env-vars\|openaikey\|openaibase\|openaimodel" \ src/praisonai/praisonai/deploy.py Expected output showing unsanitized interpolation: 150: '--set-env-vars', f'OPENAIMODELNAME={openaimodel},OPENAIAPIKEY={openaikey},OPENAIAPIBASE={openaibase}'

Step 2. Confirm no comma validation exists before this line grep -n "comma\|assertNotIn\|ValueError\|sanitize\|strip\|replace" \ src/praisonai/praisonai/deploy.py Expected output: no results related to input validation

Step 3. View the full context of the vulnerable construction sed -n '140,165p' \ src/praisonai/praisonai/deploy.py This block shows the gcloud command list where the three values are joined into one comma-separated string passed as a single argument element. gcloud receives this string and applies its own comma-based parsing, which the subprocess list form cannot prevent.

Step 4. Confirm subprocess is called without shell=True grep -n "subprocess\|Popen\|shell=" \ src/praisonai/praisonai/deploy.py This confirms shell=False (default), meaning the injection is at the gcloud argument level, not the shell level. The comma delimiter is parsed by gcloud itself, not by /bin/sh.

Step 5. Confirm no existing advisory covers this file grep -rn "deploy.py\|set.env.vars\|openaibase" \ src/praisonai/praisonai/deploy.py

Vulnerability Description

File: src/praisonai/praisonai/deploy.py

Vulnerable line: 150: '--set-env-vars', f'OPENAIMODELNAME={openaimodel},OPENAIAPIKEY={openaikey},OPENAIAPIBASE={openaibase}'

The three values openaimodel, openaikey, and openaibase originate from environment variables or user-provided configuration and are interpolated directly into a single f-string without validation.

The subprocess call uses a Python list without shell=True. This means there is no shell injection. The subprocess module passes the f-string as one complete argument to gcloud. gcloud then applies its own internal parsing to the value of --set-env-vars using a comma as the delimiter. This parsing is entirely outside Python's control.

If any of the three values contains a comma, gcloud splits on that comma and creates an additional KEY=VALUE environment variable from the text following it. There is no error or warning from gcloud when this occurs.

The three values are attacker-controllable in any scenario where environment variables can be set before the deploy command runs. This includes compromised dotenv files, poisoned CI pipeline secrets, and local developer machines where an attacker has shell access.

Proof of Concept attacker-controlled openaibase value:

export OPENAIAPIKEY="sk-legitimate-key" export OPENAIMODELNAME="gpt-4" export OPENAIAPIBASE="https://api.openai.com/v1,INJECTED=attackervalue"

Run the deploy command. The string constructed at line 150 becomes: OPENAIMODELNAME=gpt-4,OPENAIAPIKEY=sk-legitimate-key,OPENAIAPIBASE=https://api.openai.com/v1,INJECTED=attackervalue gcloud parses this as four key-value pairs and creates all four as environment variables in the Cloud Run service. INJECTED=attackervalue is a real environment variable available to every request the service handles.

Verify the injection after deployment: gcloud run services describe praisonai-service \ --region us-central1 \ --format "value(spec.template.spec.containers[0].env)" The output includes INJECTED alongside the three legitimate variables.

API key override:

export OPENAIAPIKEY="sk-real,OPENAIAPIKEY=sk-attacker"

The constructed string contains OPENAIAPIKEY twice. In gcloud versions where the last-defined value takes precedence, the deployed service uses sk-attacker for all LLM API calls. All agent traffic routes through the attacker-controlled API account.

Impact

An attacker who can influence any of the three environment variables before deploy.py runs can inject arbitrary environment variables into the deployed Cloud Run production service without triggering any error.

Injection scenarios include a malicious git hook that modifies a dotenv file before deployment, a compromised CI pipeline secret, or any local access that allows setting environment variables in the deploy shell session.

Consequences include overriding the API key used by the production service, injecting proxy settings that redirect all outbound LLM traffic, setting debug or verbose flags that write sensitive data to Cloud Run logs, and overriding any security-relevant variable the service reads from its environment.

The API key override scenario is the highest-impact case. All production LLM calls made by the deployed service are billed to and logged by the attacker's API account, giving the attacker full visibility into every agent prompt and response processed in production.

Recommended Fix

Pass each variable as a separate --update-env-vars flag so each value is an isolated argument and gcloud never performs comma-based parsing across multiple values:

Before: ['gcloud', 'run', 'deploy', 'praisonai-service', '--set-env-vars', f'OPENAIMODELNAME={openaimodel},OPENAIAPIKEY={openaikey},OPENAIAPIBASE={openaibase}']

After: ['gcloud', 'run', 'deploy', 'praisonai-service', '--update-env-vars', f'OPENAIMODELNAME={openaimodel}', '--update-env-vars', f'OPENAIAPIKEY={openaikey}', '--update-env-vars', f'OPENAIAPIBASE={openaibase}']

Each --update-env-vars element is a separate string in the subprocess list. The subprocess module passes each as a distinct argument to gcloud. gcloud receives three separate single-variable assignments and performs no cross-argument comma parsing.

Add pre-flight validation as a secondary control:

for label, value in [ ("OPENAIMODELNAME", openaimodel), ("OPENAIAPIKEY", openaikey), ("OPENAIAPIBASE", openaibase), ]: if "," in value: raise ValueError( f"{label} contains a comma and would corrupt " f"--set-env-vars: {value!r}" )

References

CWE-88 Improper Neutralization of Argument Delimiters in a Command gcloud run deploy documentation for --set-env-vars KEY=VALUE comma delimiter specification

Other sources

PraisonAI is a multi-agent teams system. Prior to 4.5.128, deploy.py constructs a single comma-delimited string for the gcloud run deploy --set-env-vars argument by directly interpolating openaimodel, openaikey, and openaibase without validating that these values do not contain commas. gcloud uses a comma as the key-value pair separator for --set-env-vars. A comma in any of the three values causes gcloud to parse the trailing text as additional KEY=VALUE definitions, injecting arbitrary environment variables into the deployed Cloud Run service. This vulnerability is fixed in 4.5.128.

MITRE

Affected Software

2 affected componentsFixes available
pip/PraisonAI<4.5.128
4.5.128
Praison PraisonAI<4.5.128

Event History

Apr 9, 2026
CVE Published
via MITRE·09:17 PM
Data Sourced
via MITRE·09:17 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·10:16 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·10:16 PM
Affected Software
Apr 10, 2026
Advisory Published
via GitHub·07:22 PM
Data Sourced
via GitHub·07:22 PM
DescriptionSeverityWeaknessAffected Software
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