ToxSec

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ToxSec

ToxSec

@0xToxSec

AI Security Engineer | M.S. Cybersecurity, CISSP | Amazon, NSA, Defense Contractor, USMC.

Seattle, WA Katılım Temmuz 2022
46 Takip Edilen124 Takipçiler
ToxSec
ToxSec@0xToxSec·
Been seeing more API bugs pop up on bounty reports lately; feels like the real gold is still in logic flaws.
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ToxSec
ToxSec@0xToxSec·
That moment when grep finds the secret in node_modules—and you can’t decide whether to celebrate or cry. #infosec
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ToxSec
ToxSec@0xToxSec·
sometimes i think i’m just a professional 404 collector. #bugbounty
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ToxSec
ToxSec@0xToxSec·
The Pringles Can Antenna (early 2000s) – Wardrivers discovered a perfectly sized Pringles tube could focus Wi-Fi signals for miles. Security researchers still call it the “cantenna.” #HackerHistory
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ToxSec
ToxSec@0xToxSec·
when burp’s history tab looks like a conspiracy wall. #bugbounty
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ToxSec
ToxSec@0xToxSec·
Blue Box Symphony – In the 1970s, phone phreak “Captain Crunch” discovered that a toy whistle from a Cap’n Crunch cereal box emitted the 2600 Hz tone needed to seize long-distance phone trunks. #Hackers
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ToxSec
ToxSec@0xToxSec·
Probe every parameter. Don’t just test id=. Try integer fuzzing, negative numbers, encoded payloads, and nested JSON keys. Even “read-only” params can hide IDOR or injection bugs.
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ToxSec
ToxSec@0xToxSec·
Which takes longer: a Burp active scan or a bounty payout? #BugBounty
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ToxSec
ToxSec@0xToxSec·
that moment when a payload works in repeater but dies in intruder—pure betrayal. #bugbounty
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ToxSec
ToxSec@0xToxSec·
ny bill would prohibit ai #chatbots from giving legal advice. a new york state bill, sb 7263, which passed the internet and technology committee, states that chatbots can’t provide substantive legal responses or advice that would count as practicing law if done by a person.
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ToxSec
ToxSec@0xToxSec·
@LangChain @hwchase17 This is nice. Lang Chain has been super good for building agents. It's definitely my go-to right now.
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LangChain
LangChain@LangChain·
🚀 New LangChain Academy Course: Building Reliable Agents 🚀 Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool use, and real user traffic, and building reliable agents becomes far more complex than traditional system design. The goal of this course is to teach you how to take an agent from first run to production-ready system through iterative cycles of improvement. You’ll learn how to do this with LangSmith, our agent engineering platform for observing, evaluating, and deploying agents. Enroll for free ➡️ academy.langchain.com/courses/buildi…
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Tech Fusionist
Tech Fusionist@techyoutbe·
100 DevOps Terms & Services
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ToxSec
ToxSec@0xToxSec·
@aastha_mhaske I've been a pretty big fan of Co-Work. It's a really powerful tool in my opinion
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Aastha
Aastha@aastha_mhaske·
Difference Explained Well 📚📘
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ToxSec
ToxSec@0xToxSec·
@iyoushetwt I'm pretty sure most of us are going to agree on the left one but I could be wrong
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Ayushi☄️
Ayushi☄️@iyoushetwt·
delete one forever
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