Install payload
Install payload is mixed and needs spot-checking.
50% (1/2)
Browse the directory
/
Showing 2 resources for "security-testing"
Saved
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Active
Rollout signal scan
2 rollout risk signals in current results
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
watch
Most at-risk entries in this view
Adoption queue
Browse adoption queue · balanced
1/2 visible results are in hold tier and need mitigation before adoption.
ready 0caution 1hold 1
Burp Suite MCP Server
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/burp-suite-mcp-server · trust review · confidence 67%
Microsoft PyRIT
2 blockers: Metadata review, Install payload
hold
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/pyrit · trust review · confidence 50%
Decision confidence
Decision confidence scan · balanced
1/2 results are low-confidence and need review before adoption.
high 0medium 1low 1
Burp Suite MCP Server
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/burp-suite-mcp-server · trust review
Microsoft PyRIT
Hold adoption until Metadata review, Package integrity are resolved.
low
36/100
Missing: Metadata reviewMissing: Package integrityMissing: Install payload
tools/pyrit · trust review
Freshness distribution
Current results are broadly fresh
Median age 54 days; all 2 scanned entries are within 90 days.
Burp Suite MCP Serverby PortSwigger · submitted by oktofeesh1
PortSwigger's Burp Suite MCP Server extension connects Burp Suite to MCP clients through an SSE server or packaged stdio proxy for request, Repeater, Intruder, history, scanner, Collaborator, and configuration workflows.
Microsoft PyRITby Microsoft · submitted by oktofeesh1
Open-source Python framework from Microsoft for identifying generative AI safety and security risks through automated and human-led red-team assessments.