BREAKING
PentesterFlow Turns LLMs Into Agents
Human-in-the-Loop Workflow
1
Recon
↓
2
Enumeration
↓
3
Exploitation
↓
4
Reporting
Control and Reproducibility
Evidence Rule
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Reproduce before recording
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Saved as Markdown findings
Local Learning
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JSONL knowledge bases
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Deduped and secret-redacted
0
model backends
0
min
snapshot interval
0
supported OS families
0
+
open-source agents
0
K
context limit
Hybrid Approach Stays Practical
AI NEWS BLITZ
An open-source tool called PentesterFlow turns language models into penetration-testing agents.