Offensive Security Reimagined:
Get continuous, automatic penetration testing in few clicks.
Gain full visibility into your exposition to Cyber Attacks.
New skill just landed in Rifteo's open-source repo: droid-recon
Full Android APK analysis in a single pass manifest parsing, secret detection, MASVS tagging, zero guesswork.
Benchmark results below π
Check it out: https://t.co/pociNP40qS
π§ Time for a code review.
This endpoint contains one security flaw.
Can you find it before someone exploits it?
#BugBounty#AppSec#CyberSecurity#Rifteo
New skill just dropped in the Rifteo community: AI-LLM-Hunter. π€
Built for AI security testing from prompt injection and agentic tool abuse to cross-tenant data leaks.
Benchmark π Same prompt & model. Only the skill changed.
https://t.co/4V8FU5Z3RU
#AI#LLM#AISecurity
Finding the vuln is just step one.
Rifteo, our PTaaS, carries the whole loop, powered by Teo, its agentic system that confirms the issue, scores the risk, writes the fix, and ships the full report.
Discovery to deliverable, one ecosystem.
#infosec#cybersecurity#pentest
Most "AI security skills" are just documentation with extra steps.
Here's how to use Nmap. Here are some ffuf commands. Here's an XSS checklist.
That's not reasoning. That's replay and it breaks the moment the target doesn't match the example.
And it's already finding real bugs:
"Found it using the Redmind AI skill while testing this target." β @nice_hacker_, on a bounty, he just landed in a major automotive program.
It's benchmarked, not vibes:
π +120% more IDOR findings
β‘ -75% time on XSS hunts
π― -90% scope collection time
34 skills. Live scope from 5 bug bounty platforms, already inside your agent. MIT licensed. Zero setup.
We built Rifteo Community differently: skills that encode how senior pentesters actually think, not which command to run.
Observe β question assumptions β run one focused experiment β learn β chain.
No tool names baked in. Works on web apps, APIs, cloud, anything.