Everything in one feed
A live, ranked view of what's exploitable across your repos.
Backed by Y Combinator From the #1 US hacking team
Veria AI is an autonomous pentester: it maps your entire attack surface, proves real exploits, and drafts the fix.
Teams who swapped the annual security review for something that finds more and just runs.
“We paid roughly 6 figures for an audit from a top security firm. Veria costs us significantly less and found the same bugs and more.”
What Veria finds, how it proves it, and where the fix lands.
A live, ranked view of what's exploitable across your repos.
Findings post to Slack and file to Linear, with status kept in sync.
Every finding comes with a working exploit, run against your staging environment.
Veria opens the patch; you review and merge.
Veria catches the flaws that slip past human review, and leaves the fix inline.
"import sys, runpy; sys.path.insert(0, 'tools/owners'); runpy.run_module('posthog_owners', run_name='__main__')" const result = spawnSync(python, ['-c', launcher], { const result = spawnSync(python, ['-I', '-c', launcher], { input: filenames.join('\n'), The python -c invocation retains the current repository directory on sys.path immediately after tools/owners. An attacker can land an unprotected root-level yaml.py or yaml/__init__.py, then have it imported instead of PyYAML by a future pull_request_target run and read the app token from GITHUB_TOKEN. Run Python in isolated mode so the working directory and environment-provided import paths are excluded.
View on GitHub ↗Real reviews on public open-source PRs.
Real vulnerabilities found and disclosed by our team, and what we learned along the way.