Empirical Security Analysis of Production AI Agent Frameworks, Cloud Data Pipelines, and Multimodal Trajectory Poisoning: OAuth Token Exfiltration, SSRF, and Pre-Tool Cryptographic Sandboxing

An empirical offensive security and vulnerability analysis of production AI agent frameworks, Model Context Protocol (MCP) bridges, cloud data pipelines, and multimodal trajectory poisoning vectors conducted by HM Shihabuddin Jashory (Shihab). Covers real-world OAuth token exfiltration chains, Server-Side Request Forgery (SSRF), sibling path traversal bypasses, and deterministic Pre-Tool cryptographic sandboxing defenses.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23832723
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
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article

Empirical Security Analysis of Production AI Agent Frameworks, Cloud Data Pipelines, and Multimodal Trajectory Poisoning: OAuth Token Exfiltration, SSRF, and Pre-Tool Cryptographic Sandboxing

HM Shihabuddin Jashory
1 links
Zenodo (CERN European Organization for Nuclear Research)
Web Application Security Vulnerabilities
article

Empirical Security Analysis of Production AI Agent Frameworks, Cloud Data Pipelines, and Multimodal Trajectory Poisoning: OAuth Token Exfiltration, SSRF, and Pre-Tool Cryptographic Sandboxing

HM Shihabuddin Jashory
article en

Abstract

An empirical offensive security and vulnerability analysis of production AI agent frameworks, Model Context Protocol (MCP) bridges, cloud data pipelines, and multimodal trajectory poisoning vectors conducted by HM Shihabuddin Jashory (Shihab). Covers real-world OAuth token exfiltration chains, Server-Side Request Forgery (SSRF), sibling path traversal bypasses, and deterministic Pre-Tool cryptographic sandboxing defenses.

Zenodo (CERN European Organization for Nuclear Research)
University of the People (US)
Openalex Percentile: Top 6%
Web Application Security Vulnerabilities
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