# nolabs-ai nono-py authorization bypass via insecure default configuration

Source: https://junglewise.ai/threats/nolabs-ai-nono-py-authorization-bypass-via-insecure-default-aa09c4d4  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-06-26. Updated: 2026-06-26  
License: CC BY 4.0 with a link back

Severity: medium · CVSS 5.2 · Published 2026-06-26

nono-py is a Python library used to manage network access and credentials for sandboxed child processes. A security flaw in its default configuration allows these sandboxed processes to bypass intended network restrictions and connect to unauthorized external or internal services. This could lead to sensitive data being sent to unintended locations or unauthorized access to internal company resources.

Technologies: [nono-py (PyPI)](https://junglewise.ai/threats/technologies/nono-py). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is This vulnerability exploited in the wild?** No. Junglewise Threat Intelligence has no report of This vulnerability being exploited in the wild.

**How severe is This vulnerability?** Medium severity, with a CVSS score of 5.2, published 26 June 2026.

**Which products and versions are affected?** nono-py (PyPI) <= 0.10.1.

**Is there a fix for This vulnerability?** A patch was published on 2026-06-26: Version 0.11.0 released Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is This vulnerability attacked?** It is attacked with local access, in a software library.

**Am I affected?** Check whether you run nono-py (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

nono-py is vulnerable to an authorization bypass and policy confusion due to insecure default initialization (CWE-1188). The library's Python API incorrectly treats an empty 'allowed_hosts' list as a permit-all policy within the nono-proxy component, rather than a restrictive one. A local attacker or untrusted child process running in a 'CapabilitySet.proxy_only' environment can exploit this to use the local proxy as a transparent CONNECT tunnel to reach arbitrary hosts. This bypasses intended egress controls, potentially allowing data exfiltration or lateral movement to internal services. The issue is addressed in version 0.11.0 by changing the default behavior to an explicit opt-in model.

## Affected products

- nolabs-ai nono-py <= 0.10.1

## Timeline

- 2026-05-23: disclosed: Advisory published by maintainer
- 2026-06-26: advisory: GitHub Advisory Database entry published/reviewed
- 2026-06-26: patched: Version 0.11.0 released

## References

- [https://github.com/always-further/nono-py/security/advisories/GHSA-9j7f-3r4p-pwh6](https://github.com/always-further/nono-py/security/advisories/GHSA-9j7f-3r4p-pwh6)
- [https://github.com/nolabs-ai/nono-py/commit/163fca083a189967b882d1005bfba099fc9a9d63](https://github.com/nolabs-ai/nono-py/commit/163fca083a189967b882d1005bfba099fc9a9d63)
- [https://api.github.com/repos/nolabs-ai/nono-py/security-advisories/GHSA-9j7f-3r4p-pwh6](https://api.github.com/repos/nolabs-ai/nono-py/security-advisories/GHSA-9j7f-3r4p-pwh6)

## Related threats

- [nono-py sandbox escape in network policy enforcement](https://junglewise.ai/threats/nono-py-sandbox-escape-in-network-policy-enforcement-a1ddd3bf)
- [nolabs-ai nono-py network sandbox bypass on older Linux kernels](https://junglewise.ai/threats/nolabs-ai-nono-py-network-sandbox-bypass-on-older-linux-kernels-bd84b7dc)