AI code review and penetration testing
Hacktron reviews pull requests against indexed repositories and call graphs instead of the diff alone, attaching a proof-of-concept and an AI fix prompt to each finding, per Hacktron's documentation.
Hacktron is built as an AI-native security platform for code review and penetration testing: it reviews pull requests against indexed repositories and call graphs instead of the diff alone, and names broken access control, business logic flaws, injection, SSRF, and other classes among what it looks for, attaching a proof-of-concept and an AI fix prompt to each finding, per Hacktron's documentation. Aevral is built for a diff-first reading of the same question: its PR review, live on install, looks for access control, business logic, injection, XSS, SSRF, path traversal, and LLM-integration flaws on the diff, and its whole-repo scan reads who has access to what: authorization, IDOR, and business-logic access control.
Hacktron focuses on
Aevral adds alongside
Let Hacktron run its call-graph review across connected repositories and propose its fixes; let Aevral add its own authorization and business-logic reading of the same pull requests, live on install.
Also alongside
Install the GitHub App and PR review starts on. Sign in with GitHub to connect it, then press Scan for the repository you already have.
For professional use. By installing, you confirm you can act for the account or organization that owns it, and you accept the Terms and DPA on its behalf.