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Image Location finder — agentic threat model

7.8AIVSS 7.8 · High

The Image Location finder exhibits low agentic risk due to its static, request-response nature, but presents notable application security risks through potential EXIF parser exploitation and adversarial image manipulation.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.33Factor sum 1.3/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.30
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.20
Opacity & Reflexivity
0.40

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models✓ mapped

Uses computer vision and landmark recognition models. Primary threats include adversarial image inputs designed to spoof locations, model evasion, and potential model stealing of the proprietary locator engine.

L2 · Data Operations✓ mapped

Processes uploaded user images, parses EXIF metadata, and queries a global map database. Key threats include EXIF injection attacks (malicious payloads in metadata fields) and unauthorized exfiltration of sensitive user-uploaded imagery.

L3 · Agent Frameworks✓ mapped

Orchestrates a pipeline of EXIF parsing, visual feature extraction, and database lookup. Threats include insecure tool integration, specifically vulnerabilities in third-party image processing or metadata extraction libraries.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — standard web hosting risks apply, including lack of sandboxing for the image parsing environment which could allow remote code execution (RCE) via malformed image uploads.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no mention of input validation guardrails, logging of malicious upload attempts, or monitoring for drift and adversarial manipulation of confidence scores.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — as a free, closed-source tool, it lacks visible compliance certifications (e.g., GDPR, SOC2), raising privacy concerns regarding the retention and processing of PII within uploaded photos and EXIF data.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — the agent operates as a standalone vertical utility with no described multi-agent coordination or marketplace ecosystem integrations.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.