Unverified50% confidenceOpinionExact time
AI-based automated SRC vulnerability hunting is still at the tool-assisted stage, and task definition, skill writing, and result review cannot be separated from humans.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/22/2026
First Seen
Valid until: 1/20/2027
Sources
AI-Powered SRC Vulnerability Hunting: A Hands-On Guide to Building the Hermes Agent Workbench
bilibili八方网域-舟舟10/22/2026
Related Entities
Related Claims
UnverifiedA systematic SRC vulnerability hunting course aimed at complete beginners has appeared on Bilibili, combining AI tools with cybersecurity learning and divided into four progressive stages: basic introduction, vulnerability principles, AI tools, and hands-on bug hunting.76% similarUnverified对于零日漏洞和复杂的业务逻辑漏洞，AI工具仍然需要专业安全团队和专有工具的介入76% similarVerifiedThe core application points of AI in penetration testing are rapidly enumerating target assets during the information gathering phase, assisting in understanding principles during the vulnerability analysis phase, and vulnerability validation and report generation.74% similarUnverifiedProperty reports compiled by AI agents still require users to jump to the platform for secondary verification of authenticity and validity.72% similarUnverifiedAI SRE Agents in real K8s environments need to invoke kubectl, read logs, and parse monitoring metrics to locate faults72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1085770API
curl https://kongchang.com/api/v1/knowledge/claims/1085770MCP
get_claim(id=1085770)