{"uuid": "0420520c-5c61-4e90-b092-1492cec9b48d", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "CVE-2023-36812", "type": "published-proof-of-concept", "source": "https://t.me/dilagrafie/3201", "content": "Hackers Factory \n\nA collection of resources for linux reverse engineering\n\nhttps://github.com/michalmalik/linux-re-101\n\nA tool for checking the security hardening options of the Linux kernel\n\nhttps://github.com/a13xp0p0v/kernel-hardening-checker\n\nA tool to spray Shadow Credentials across an entire domain in hopes of abusing long forgotten GenericWrite/GenericAll DACLs over other objects in the domain.\n\nhttps://github.com/ShorSec/ShadowSpray\n\nEXP for CVE-2023-28434 MinIO unauthorized to RCE\n\nhttps://github.com/AbelChe/evil_minio\n\nThis is a Proof of Concept (PoC) for CVE-2023-3244, a vulnerability in comment-like-dislike. The PoC demonstrates the exploitability of this vulnerability and serves as a reference for security researchers and developers to better understand and mitigate the risk associated with this issue.\n\nhttps://github.com/drnull03/POC-CVE-2023-3244\n\nNextdoor's Cloud Security Posture Management (CSPM) Evaluation Matrix\n\nhttps://github.com/Nextdoor/cspm_evaluation_matrix\n\nMass Exploit - CVE-2023-1698 < Unauthenticated Remote Command Execution\n\nhttps://github.com/codeb0ss/CVE-2023-1698-PoC\n\nPassive subdomain continous monitoring tool\n\nhttps://github.com/e1abrador/sub.Monitor\n\nAn exploit for OpenTSDB <= 2.4.1 cmd injection (CVE-2023-36812/CVE-2023-25826) written in Fortran\n\nhttps://github.com/ErikWynter/opentsdb_key_cmd_injection\n\nA collection of awesome one-liners for bug bounty hunting.\n\nhttps://github.com/0xPugazh/One-Liners\n\nThis is a useful Python script for extracting bug bounty.\n\nhttps://github.com/St74nger/writeup-miner\n\nThis repository serves as a comprehensive collection of essential wordlists utilized by bug hunters, penetration testers, and security enthusiasts during their reconnaissance and vulnerability assessment processes.\n\nhttps://github.com/bhavesh-pardhi/Wordlist-Hub\n\nKQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.\n\nhttps://github.com/Bert-JanP/Hunting-Queries-Detection-Rules\n\n#infosec #cybersecurity #hackersfactory \n\nhttps://t.me/dilagrafie", "creation_timestamp": "2023-10-23T21:34:09.000000Z"}