bug-bounty490
google322
xss286
microsoft262
facebook221
rce182
apple155
exploit148
malware119
account-takeover110
bragging-post102
cve97
csrf86
privilege-escalation82
authentication-bypass67
stored-xss65
phishing64
writeup63
browser58
dos57
reflected-xss57
react53
ssrf52
access-control51
supply-chain51
input-validation49
aws48
cloudflare48
cross-site-scripting48
reverse-engineering47
node47
sql-injection45
smart-contract45
web-security44
ethereum44
docker43
web-application43
defi43
oauth42
web340
lfi39
idor36
burp-suite36
race-condition35
vulnerability-disclosure35
html-injection33
csp-bypass32
smart-contract-vulnerability32
information-disclosure31
clickjacking31
0
4/10
Side-by-side code comparison of implementing the same chat application with tool-calling and streaming across four AI frameworks (Pydantic AI, LangChain, LangGraph, CrewAI), showing implementation complexity and design patterns from ~160 to ~420 lines.
ai-frameworks
langchain
langgraph
pydantic-ai
crewai
code-comparison
llm-agents
tool-calling
fastapi
websocket
async-python
Pydantic AI
LangChain
LangGraph
CrewAI
FastAPI
Next.js
PostgreSQL
OpenAI
Vstorm OSS
0
7/10
Introduces an open-source approach using Cartography to map production AI agents to their IAM roles, declared tools, models, and network exposure in AWS infrastructure. Provides graph-based queries and methodology to discover which agents are internet-reachable and what permissions they hold, addressing a critical gap in AI security visibility.
ai-agent-security
iam-mapping
cloud-security
container-security
aws-security
threat-modeling
infrastructure-graph
agent-discovery
network-exposure
cartography
aibom
governance
ecs
ecr
langchain
pydantic-ai
Cartography
Alex Chantavy
Cisco AIBOM
AWS ECS
AWS ECR
AWS IAM
pydantic_ai
langchain
OpenAI
EU AI Act
NIST AI RMF