I found this interesting "403 Forbidden" Bypass; through "Microsoft-Azure-Application-Gateway/v2"
1. Accessing the URL returns "403 Forbidden"
2. Appending the query "?x=.js", successfully bypasses the Azure restriction leading to direct access to the restricted resource.
CyberSecurity Insights 🪄 retweeted
🚨 PoC RELEASED: Telegram Desktop one-click account takeover (CVE-2026-107181)
A researcher has published a full technical write-up and proof of concept for a flaw in Telegram Desktop before 7.2.9.
🔴 CVSS 4.0: 8.6 High (CVSS 3.1: 8.1), scored by VulnCheck
🎯 Root cause (CWE-143): Telegram Desktop's single-instance IPC didn't escape its record separator, so a crafted external link could inject extra commands. One of them reached a legacy internal helper that reads a local file and sends it to a chat, with no authorization check and no confirmation.
💥 Impact: one click on an external link can lead to arbitrary local file read. That includes Telegram's session data, enough to take over the account when no local passcode is set. Confirmed on Windows.
📅 Reported via ZDI in June. Telegram quietly fixed it in 7.2.9 (Sept 17) with no advisory. CVE assigned Oct 7.
Not in CISA KEV. No in-the-wild exploitation reported. ThreatWire has not run the PoC.
✅ Update to Telegram Desktop 7.2.9+. Also consider:
• "Ask where to save each file"
• Limiting who can add you to groups
• Setting a local passcode
Full breakdown & Poc👇
threatwire.tech/research/tel…
#Telegram #CVE #InfoSec #CyberSecurity
GitLab security team waking up every few weeks:
“yeah… another critical one.”
CVE-2026-85706 is CVSS 10.0.
Unauthenticated path traversal → arbitrary file read via the repository commits API.
Self-hosted GitLab admins:
please patch your shit. 💀
ai is quietly breaking bug bounty economics. it made finding potential bugs almost free. but proving them is still expensive.
a researcher runs an agent for hours. comes back with 20 findings. maybe 3 are real.
the rest are duplicates. noise. no impact. someone still has to read every single one.
discovery is becoming abundant. human attention is becoming scarce. that flips the economics of bug bounty.
we used to compete on finding more bugs. now the edge is who produces the most signal.
the best hunter won't be who runs the most agents. it's who explores 100 possibilities and finds the 2 worth reporting.
when everyone has an agent, finding a bug stops being impressive. proving it's real, exploitable, and different becomes rare.
if platforms don't fix triage, ai makes it worse for everyone.
more submissions isn't more security. more signal is.
JWT testing gets tedious fast.
Decode → edit → re-sign → repeat.
Hakluke’s ( @hakluke ) toolkit makes it much faster.
Paste a token and you can quickly test:
- alg:none + case variants
- Algorithm confusion
- kid injection
- Weak JWT secrets
- Claim injection
- Tampered tokens without re-signing
The last one is my favorite.
Disable auto re-sign → modify the token → send it.
If the server accepts the tampered JWT without verifying the signature, you’ve got a finding.
hakluke.com/jwt-hacking
The researcher was literally just ordering food. 🍔
At checkout, Grubhub asked which saved card should be charged.
The researcher intercepted the request and noticed a parameter:
credit_card_id
Then came the thought:
“What if I replace this with someone else’s?” 🤔
And it worked.
The order went through using a stranger’s saved card. 💳
No card number.
No phishing.
No social engineering.
Just broken authorization.
And the potential impact was huge - Yelp disclosed that the flaw could have affected more than 1.5 million saved cards. 😳
This is the part of bug bounty I love.
A normal person is ordering food.
A bug hunter is ordering food while thinking:
“Why is the server trusting this ID?”
“What happens if I change it?”
“What if this belongs to another user?”
“What if I replay this request?”
“What if the frontend blocks me, but the API doesn't?”
That's the mindset. 🧠
You don't always need a complicated target, a 50-step exploit chain, or some crazy payload.
Sometimes you're just doing something completely normal...
and your brain refuses to accept the normal behavior.
“What if I change this?”
That question can turn a normal food order into a critical IDOR. 🚨
I found this while reading through critical IDOR reports on HackerOne, and it reminded me why I enjoy bug bounty so much.
The best hunters aren't only testing applications.
They're constantly challenging them.
What if this belongs to someone else?
What if I remove this?
What if I change that?
What if I shouldn't be able to do this?
That mindset is everywhere.
While ordering food. 🍔
While booking a hotel. 🏨
While changing an account setting. ⚙️
While using an API. 🔌
You never really stop thinking like a hacker.
That's the bug bounty mindset. 🧠
How to think about authentication bypass before you test it. 82 disclosed reports, 8 parts, one framework.
CyberSecurity Insights 🪄 retweeted
A two-person security team used AI to find real vulnerabilities in code and earned $250,000 from a single bounty.
Now they have open-sourced the system behind it.
It is called Open-Kritt.
Most people scan a repository by giving an AI one giant task:
“Find every vulnerability in this code.”
Open-Kritt takes a more focused approach.
First, one agent maps every reachable entry point.
Then it launches separate agents to trace each code path and search for specific failures.
Each agent gets its own isolated container, where it can:
> Inspect the code
> Install security tools
> Compile the project
> Run tests
> Fuzz inputs
> Build a proof of concept
The raw findings are then checked, merged when they describe the same bug, and ranked so researchers can inspect the most promising ones first.
It works with Codex, Claude Code, OpenAI, Anthropic, and OpenRouter.
The Kritt team says it used the system to find more than 20 High and Critical vulnerabilities in nine months.
It also finished first in the Firedancer V1 audit competition using fully AI-driven research with no manual review.
This is an open-source research lab that turns AI agents into a small security team.
github.com/Kritt-ai/open-kri…
CyberSecurity Insights 🪄 retweeted
Hey Hunters,
just released: Burp Unrestricted MCP
Free and open source, for hunters running AI agents against Burp on
long engagements.
A fork of @PortSwigger's Burp MCP Server that adds the 8 tools an agent
actually needs to work a target end to end.
github.com/RamanMG/Burp-MCP-…
#Bugbounty
CyberSecurity Insights 🪄 retweeted
FROM INTERNET
1)How a Simple Profile Setting Revealed Sensitive Credentials in a Bug Bounty Program
mazenrady.medium.com/how-a-s…
2)Reverse Engineering APIs with Chrome DevTools: A Bug Bounty Practical Guide
securitytalent.medium.com/re…
3)How I Earned $10,000 From Microsoft (From Just 2 Bugs Out of 30+)
blog.leetsec.in/how-i-earned…
4)An AI Agent Hacked Hugging Face. Here’s Exactly How It Happened — Step by Step
medium.com/@sugamsays/an-ai-…
5)How I found Critical Vulnerability In Government PSU that exposes Employee Very Sensitive Details through AI Chatbot
0x5uryax1.medium.com/how-i-f…
6)SSRF with Blacklist-Based Input Filter:Write-up
medium.com/@anubhavbora40/ss…
7)Bruno Vulnlab write-up
medium.com/@kankojoseph/brun…
8)100 Cybersecurity Resources That Actually Matter
ismailtasdelen.medium.com/10…
9)🚨 Critical Media Takeover: How a Base64-Encoded QA Secret Compromised Production 📸
vanshrathorebughunter.medium…
10)When Security by Obscurity Blinds the WAF: From Client-Side Encryption to Critical SQL Injection — Part 1
medium.com/@justmobilesec/wh…
#bug #bugs #bugbounty #bugbountytip #bugbountytips #hacking #hacker #ethicalhacking #ethicalhacker #ethicalhackers #cybersecurity
I analysed 313 disclosed SSRF reports from HackerOne.
5 patterns repeat in almost every report. Two different chains lead to full RCE.
I turned it into a testing framework you can run on every endpoint.
Full breakdown on Medium:
medium.com/@Aacle/the-bug-bo…
CyberSecurity Insights 🪄 retweeted
OAuth Authorization Bypass Testbed
403.brutelogic.net/authz/oau…
Broken Token: OAuth
New ebook, 2nd of the series.
Master every way to break OAuth flow:
PKCE downgrade
DCR injection
Token lifecycle abuse
Grant flow weaponization
+ 13 original named techniques
brutelogic.net/ebooks/broken…
The most complete offensive OAuth resource available.
Everyone is using Claude Code in their bug hunting.
Almost nobody is using it well.
10 habits that separate "I tried AI" from "AI found bugs I'd have missed."
Thread 🧵
Never used Claude Code in your bug bounty?
You're leaving the boring half of your own workflow on the table.
Step one isn't "find bugs." It's: export your HackerOne reports, feed them to Claude, & tell it to build skills
Now it hunts like you, not like a generic pentester.
CyberSecurity Insights 🪄 retweeted
Advanced Bug Bounty Tip 💡
The best BFLA bugs often aren't in what an endpoint returns—they're in what it accepts.
When testing "PATCH"/"PUT" endpoints, try adding fields the UI never exposes:
{
"role": "admin",
"tenant_id": "123",
"is_admin": true,
"permissions": ["*"]
}
Many APIs validate the response but never strictly validate the request. If the backend blindly binds unexpected fields, you've found a classic mass assignment issue.
Don't just fuzz URL parameters—fuzz your JSON body too. 🐛
#BugBounty #API #AppSec #CyberSecurity #MassAssignment #BFLA #OWASP
Everyone knows HackerOne Hacktivity.
Nobody knows this repo:
reddelexc/hackerone-reports (6.4k stars).
Bug types Hacktivity doesn't: Business Logic, REST API, GraphQL, Web Cache, MFA, Auth Bypass, Mobile.
reddelexc.github.io/hackeron…
Bookmark before it disappears.































