Pinned Tweet
AI agents don't always follow the right design patterns. I built this product to help agents use established design patterns via MCP, helping keep codebases clean and maintainable. It's a tool, not a magic fix. Always review your code.
Check it out: aipatterns.dev/agents
I Built a local bug bounty recon platform that runs in the background: Rust tools handle subdomains, DNS, probing and crawling, a local systemone model classifies assets and flags leads. Argus MCP lets a hackbot poll for leads, pull them and hunt for bugs while I test in Burp.
Very useful information ๐ง the quirky behaviour in programming languages can lead to interesting bypasses.
We built security tools to automate tasks with predefined rules, but they struggled with edge cases. Harnesses add reasoning, letting tools interpret results and adapt, with HITL keeping humans in control.
Without a good harness, you're just finding the same shit as everyone else: the new era of Nuclei.
A well-engineered harness is like giving your lab rat tren (Nuclei private templates).
But finding the right balance between manual hacking and your hackbot? activates god mode.
I'm curious on how well it works for y'all vibe coders, would love some of your amazing feedback. Remember, it's not a magic fix, your agents will always have a mind of it's own at times, so make sure to validate there responses and review the code it spits out.
Definitely worth a read ๐ฅ you won't regret it and you will learn lots.
Great work Louis ๐ช
This is amazing ๐ the profundis team has completely refurbished there UI/UX and they always have clean data and some of the best features I've seen to date. It's one of the best Shodan alternatives, I would highly recommend giving them a try out.
#bugbounty #recon #profundis
We investigated a spam campaign running on throwaway domains, and found the company behind it with our new Pivot tool.
Its WHOIS was privacy-protected, but the company name was left in the organization field, on 208 domains.
blog.profundis.io/blog/from-โฆ
Great work Harley! you're posting some great content for the community ๐ชkeep up the epic work.
Replying to @HacktronAI
@HacktronAI names a July intrusion chain into @OpenAI , @MetaBugBounty announces a public Muse bounty up to $300K, @efaav finds unsigned JWT auth in a Microsoft analytics API tied to 17 trillion records, and more.
This week, Disclosed. #BugBounty
Full issue โ getdisclosed.com
Highlights below ๐
@MetaBugBounty takes its Muse AI-agent bounty public, up to $300K for qualifying vulns and high-impact prompt injection.
@HacktronAI documents a chained intrusion into @OpenAI, starting from an image parsing bug and ending in RCE plus downstream identity and SSO abuse.
@efaav walks through unsigned JWTs in an internal Microsoft analytics API, claim spoofing unlocked arbitrary queries, the write-up frames the blast radius as 17 trillion records.
@vercel consolidates private and OSS coverage into one public @Hacker0x01 program spanning Vercel products and open-source projects.
@Intigriti confirms @Adobeโs public bug bounty program migration, going live on September 1, 2026.
@AnthropicAI announces a public @Hacker0x01 bug bounty after running privately with invited researchers.
Anthropicโs September 2026 threat report summarizes observed Claude misuse, including multi-agent phishing and AI-augmented cyber workflows.
@NahamSec announces NahamCon โPrompt2Pwn,โ a live hacking event format for 2026.
@forefy releases reburp, a Burp extension that exposes the Montoya API as a localhost OpenAPI REST interface for external scripts and agents.
@Pillar_sec reports session spoofing and SSRF in Grafana MCP, one issue enabled unauthenticated tool execution with server-side privileges.
@0xacb drops a GeoNetwork pre-auth RCE chain write-up, unauth formatter upload plus unsafe XSLT reached code execution.
@SLCyberSec details Goja JavaScript engine exploitation, out-of-bounds heap write to arbitrary read/write and full RCE.
@devploit ships geminiHunter, scanning web assets and Android apps for exposed Google Gemini API keys, plus validation checks.
@Antisy_Training publishes โExfil Everything,โ a survey of real-world data theft chains against AI agents and their trust boundaries.
That's not all. Full links, writeups & more โ getdisclosed.com
Bug bounty and offensive AI, curated.
๐ป๐ฐ๐ช๐ฅ๐ด๐ฆ๐ค retweeted
Why is AI code review so easy to adopt? What makes pentesting agents harder to deploy? Which skills should you keep developing?
Watch the recording of our webinar: "The Uneven Impact of AI on Offensive Security" with @PentesterLab's founder @snyff:
youtube.com/watch?v=IqghiUqxโฆ
Check out PentesterLabs YT channel, there is some great content for everyone. @snyff has been working very hard ๐ช๐ฅ
๐ฏ๐ฏ
One of the biggest mistakes beginners make when testing an application is not reading the error messages properly.
They send a payload, get an error and conclude that it did not work.
Then they send another payload, get another error and assume it is basically the same thing.
But an error does not mean the payload did not work. It just means that an error was triggered somewhere in the execution path, and that point may be after the interesting part already happened.
Your payload may have been parsed successfully, changed the control flow, bypassed a check, reached a different function or triggered behaviour that the previous payload did not. Something later may simply have failed.
This is why small differences matter so much. A different exception, a slightly different message, a different status code or even a different location in a stack trace can tell you that you moved forward.
Security testing is often about noticing those tiny changes and asking why they happened.
Donโt just look for success or failure.
Read the error.
Small improvements day by day, fingers crossed having an extra pair of eyes can help my team find some interesting leads to hack on ๐ค
Been building an event-driven AI recon classifier for me and the team.
One thing I've learned: test your harness constantly and keep tweaking your skills + system prompts.
Models already know the common stuff. Build skills around the things they don't.
๐ป๐ฐ๐ช๐ฅ๐ด๐ฆ๐ค retweeted
Claude can hunt. Now it can see.
The Profundis MCP gives Claude the one thing it was missing in bug bounty: recon data. Hosts, DNS, WHOIS, TLS certs, subdomains, ASN, perceptual favicon search.
Watch it map a real public target end-to-end.
The team at profundis have really been at work improving there platform. You should all go and check out there favicon similarity search that allows you to find hosts that are alike based on favicon differences, I've used it and it's brilliant definitely my favourite.
๐ป๐ฐ๐ช๐ฅ๐ด๐ฆ๐ค retweeted
๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ช๐ผ๐ฟ๐๐ต ๐ฅ๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ด - ๐ช๐ฒ๐ฒ๐ธ ๐ญ๐ด, ๐ฎ๐ฌ๐ฎ๐ฒ
The consensus seems to be: models don't matter...
๐ค ๐๐ ๐๐ต๐ฟ๐ฒ๐ฎ๐๐ ๐ถ๐ป ๐๐ต๐ฒ ๐๐ถ๐น๐ฑ: ๐ง๐ต๐ฒ ๐ฐ๐๐ฟ๐ฟ๐ฒ๐ป๐ ๐๐๐ฎ๐๐ฒ ๐ผ๐ณ ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐ ๐ถ๐ป๐ท๐ฒ๐ฐ๐๐ถ๐ผ๐ป๐ ๐ผ๐ป ๐๐ต๐ฒ ๐๐ฒ๐ฏ
A quick list of indirect prompt injection examples Google came across: security.googleblog.com/2026โฆ.
๐ช ๐ฃ๐ฒ๐ฟ๐๐ถ๐๐๐ฒ๐ป๐ฐ๐ฒ ๐๐๐น๐ฎ๐: ๐ญ๐ต ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐พ๐๐ฒ๐ ๐ก๐ผ๐ฏ๐ผ๐ฑ๐ ๐ง๐ฎ๐น๐ธ๐ ๐๐ฏ๐ผ๐๐
A great list of persistence methods for AD and Windows: 0xsr.com/blog/windows-persisโฆ.
๐ณ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐ป๐ด ๐๐ถ๐๐๐๐ฏ: ๐ช๐ถ๐ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ป๐ฐ๐ผ๐๐ฒ๐ฟ๐ ๐ฅ๐๐ ๐ถ๐ป ๐๐ถ๐๐๐๐ฏ.๐ฐ๐ผ๐บ
RCE on github.com using a single git push.: wiz.io/blog/github-rce-vulneโฆ.
๐ค ๐๐ถ๐ป๐ฑ๐ถ๐ป๐ด ๐ญ๐ฒ๐ฟ๐ผ-๐๐ฎ๐๐ ๐๐ถ๐๐ต ๐๐ป๐ ๐ ๐ผ๐ฑ๐ฒ๐น
Niels Provos leveraging IronCurtain (and its vuln-discovery workflow) to find vulnerabilities: provos.org/p/finding-zero-daโฆ.
๐ค ๐ช๐ต๐ ๐ ๐๐๐ต๐ผ๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ (๐ณ๐ผ๐ฟ ๐๐)
A great write-up from liveoverflow on why small models may be a better solution: hacktron.ai/blog/why-mythos-โฆ.
โ ๐๐๐ฃ๐ฟ๐ผ๐
๐ ๐๐ง๐ง๐ฃ/๐ฏ -> ๐๐ง๐ง๐ฃ/๐ญ ๐๐ฒ๐๐๐ป๐ฐ: ๐๐ฟ๐ผ๐๐-๐ฃ๐ฟ๐ผ๐๐ผ๐ฐ๐ผ๐น ๐ฆ๐บ๐๐ด๐ด๐น๐ถ๐ป๐ด ๐๐ถ๐ฎ ๐ฎ ๐ฆ๐๐ฎ๐ป๐ฑ๐ฎ๐น๐ผ๐ป๐ฒ ๐ค๐จ๐๐ ๐๐๐ก (๐๐ฉ๐-๐ฎ๐ฌ๐ฎ๐ฒ-๐ฏ๐ฏ๐ฑ๐ฑ๐ฑ)
It's rare to see this level of details in a blog post. Too Long, Must Read: r3verii.github.io/cve/2026/0โฆ.
This is a solid video to learn common system architecture problems and how to solve them:
๐ youtube.com/watch?v=s9Qh9fWeโฆ
Good knowledge to have as a hacker so you understand how systems work and how to spot weaknesses.


















