CVE-2026-39890 — praisonai
CRITICALCVE-2026-39890 is a critical-severity (CVSS 9.8) Deserialization of Untrusted Data vulnerability in praisonai. A fix is available for praisonai — see the affected versions and patch details below.
PraisonAI Affected by Remote Code Execution via YAML Deserialization in Agent Definition Loading
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-39890.
EPSS Exploitation Probability
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
CVE-2026-39890 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 378,156 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
praisonaiReal-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
The AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags (such as !!js/function and !!js/undefined). This allows an attacker to craft a malicious YAML file that, when parsed, executes arbitrary JavaScript code. An attacker can exploit this vulnerability by uploading a malicious agent definition file via the API endpoint, leading to remote code execution (RCE) on the server.
Details
The vulnerability exists in the YAML deserialization process. The js-yaml library's load function is used without specifying a safe schema (e.g., JSON_SCHEMA or DEFAULT_SAFE_SCHEMA). This enables the parsing of JavaScript functions and other dangerous types. When a malicious YAML file containing a !!js/function tag is parsed, the function is evaluated, leading to arbitrary code execution.
The vulnerable code is located in src/agents/agent.service.ts at line 55.
PoC
An attacker can create a malicious agent YAML file with the following content:
!!js/function >
function(){ require('child_process').execSync('touch /tmp/pwned') }
Then, upload this file as an agent definition via the API endpoint that uses AgentService.loadAgentFromFile. When the agent is loaded (either during startup or via an API call that triggers loading), the payload will execute the command touch /tmp/pwned, demonstrating arbitrary code execution.
Impact
This vulnerability allows an unauthenticated attacker (if the API endpoint is unprotected) or an authenticated attacker with the ability to upload agent definitions to execute arbitrary code on the server. This can lead to complete compromise of the server, data theft, or further network penetration.
Recommended Fix
Replace the unsafe load method with a safe alternative. Specifically, use the load method with a safe schema, such as JSON_SCHEMA or DEFAULT_SAFE_SCHEMA. For example:
import yaml from 'js-yaml';
import { JSON_SCHEMA } from 'js-yaml';
// In the loadAgentFromFile method
const agent = yaml.load(fileContent, { schema: JSON_SCHEMA });
Alternatively, if the application requires only a subset of YAML features, consider using the safeLoad method from an older version (though note it was deprecated). The key is to avoid loading tags that can execute code.
Additionally, validate and sanitize all user input, especially file uploads. Ensure that agent definition files are only uploaded by trusted users and consider storing them in a secure location with proper access controls.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | praisonai | all versions | 4.5.115pip install --upgrade 'praisonai==4.5.115' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for praisonai, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update praisonai to 4.5.115 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-39890 is resolved across your whole dependency graph.
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.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-39890 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2026-39890. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2026-39890 in your dependencies?
O3 Security finds CVE-2026-39890 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.