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LLM Vulnerabilities: Why AI Models Are the Next Big Attack Surface

Netlas Blog · published 7 November 2025

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https://www.linkedin.com/in/cameron-mattis/
linkedin.com
https://genai.owasp.org/llmrisk/llm01-prompt-injection/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm022025-sensitive-information-disclosure/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm032025-supply-chain/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm042025-data-and-model-poisoning/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm052025-improper-output-handling/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm062025-excessive-agency/
genai.owasp.org
https://netlas.io/cdn-cgi/l/email-protection
netlas.io
https://genai.owasp.org/llmrisk/llm072025-system-prompt-leakage/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm082025-vector-and-embedding-weaknesses/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm092025-misinformation/
genai.owasp.org
https://genai.owasp.org/llmrisk/llm102025-unbounded-consumption/
genai.owasp.org
I, Robot + NIST AI RMF = Complete Guide on Preventing Robot Rebellion Read at the source ↗
netlas.io
https://github.com/ReversecLabs/damn-vulnerable-llm-agent
github.com
https://x.com/kliu128
x.com
https://t.co/aq4wDitvQW
t.co
https://x.com/ChrisJBakke/status/1736533308849443121?ref_src=twsrc%5Etfw
x.com
https://x.com/ChrisJBakke
x.com
Bug Bounty 101: Top 10 Reconnaissance Tools Read at the source ↗
netlas.io
https://github.com/utkusen/promptmap?
github.com
https://arxiv.org/abs/2504.11358?
arxiv.org
https://github.com/protectai/rebuff?
github.com
https://labs.withsecure.com/tools/spikee?
labs.withsecure.com
https://artificialintelligenceact.eu/
artificialintelligenceact.eu
https://www.nist.gov/itl/ai-risk-management-framework
nist.gov
https://ijlmh.com/paper/ai-liability-and-accountability-a-complex-landscape-in-an-evolving-world/
ijlmh.com
https://openai.com/policies/coordinated-vulnerability-disclosure-policy/
openai.com
https://github.com/Azure/PyRIT
github.com
https://atlas.mitre.org/
atlas.mitre.org
https://research.ibm.com/projects/adversarial-robustness-toolbox
research.ibm.com