bug-bounty223
google197
microsoft163
facebook157
apple120
rce91
exploit74
web351
open-source44
smart-contract42
defi41
ethereum38
ai-agents36
writeup36
docker35
access-control35
aws34
malware34
cve33
cloudflare32
react31
ssrf31
dos30
sqli29
supply-chain26
bragging-post24
smart-contract-vulnerability23
xss23
node22
account-takeover22
wordpress20
automation20
race-condition20
privilege-escalation20
oauth19
browser19
tool19
idor19
cors19
machine-learning18
authentication-bypass18
vulnerability-disclosure17
denial-of-service17
cloud17
ctf17
llm17
buffer-overflow16
sql-injection16
phishing16
rust16
0
4/10
LLMs like Claude Opus 4.6 are becoming effective at finding hidden bugs in code—including decades-old assembly—by reasoning about control flow rather than pattern matching, but simultaneously create 1.7x more bugs than humans and pose risks to unpatchable legacy systems that bad actors could exploit at scale.
ai-assisted-security
bug-finding
static-analysis
legacy-code
vulnerability-detection
llm-security
code-review
reverse-engineering
firmware-security
vulnerability-discovery
Claude Opus 4.6
Mark Russinovich
Microsoft Azure
Anthropic
Matthew Trifiro
Adedeji Olowe
Lendsqr
SpotBugs
CodeQL
Snyk Code
GPT-4.1
Mistral Large
DeepSeek V3
Mozilla Firefox
Black Duck Signal
NCC Group
Ghidra
CodeRabbit
Daniel Stenberg
cURL