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search_vulns

search-vulns.comThreat intelligence, SIEM & detection

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 17 Jun 2026. How this is checked

search_vulns is a web-based platform that allows users to search for known software vulnerabilities using data from sources like NVD, Exploit-DB, and others. It provides filtering, export options, and an API for integration, serving security professionals and developers.

Inferred · not functionally tested

MITWebCLI
search_vulns preview
Visit search-vulns.com
92stars
15forks
5features
2021since

Overview

5 features

Purpose: Finding and aggregating known software vulnerabilities from multiple public databases efficiently.

Inferred · not functionally tested

Audience: security analysts and software developers

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: unknown · license: MIT · platforms: CLI, WEB · deployment: browser, cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: search-vulns.com · github.com. These links do not verify the individual claims.

search_vulns sits in PulseGate's Threat intelligence, SIEM & detection category. Inferred · not functionally tested: It focuses on finding and aggregating known software vulnerabilities from multiple public databases efficiently. Inferred · not functionally tested: search_vulns is a B2B product aimed at security analysts and software developers. Basis unknown · not verified: search_vulns is available on the web and the command line.

search_vulns first shipped in 2021. Development happens publicly on GitHub with 92 stars and 71 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are vulnerability search, multiple data sources, and export results. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Vulnerability search
  • Multiple data sources
  • Export results
  • Custom filters
  • API access

Topics: Inferred · not functionally tested

Tags
vulnerability-databasecve-searchsecurity-insights

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
API
Runs on
BrowserCLI

Trust & compliance

License
MIT
Public signals
HTTPSTerms of ServiceGitHub · ★ 92Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed21 Sep · 20:50 UTC
    search-vulns seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about search_vulns

What does search_vulns do?
Inferred · not functionally tested: Search_vulns focuses on finding and aggregating known software vulnerabilities from multiple public databases efficiently. It is catalogued under Threat intelligence, SIEM & detection on PulseGate.
Who is search_vulns for?
Inferred · not functionally tested: search_vulns is a B2B product built for security analysts and software developers.
What platforms does search_vulns run on?
Basis unknown · not verified: search_vulns runs on the web and the command line.
Is search_vulns still maintained?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 71 commits in the last 90 days.
What projects are similar to search_vulns?
Similar projects tracked by PulseGate include AmberCell, alphaMountain threatYeti, and SpotThem.AmberCellalphaMountain threatYetiSpotThem
How long has search_vulns been around?
search_vulns first shipped in 2021.
Is search_vulns open source?
Basis unknown · not verified: search_vulns has a public GitHub repository.
Does search_vulns have an API or integrations?
Inferred · not functionally tested: Yes — search_vulns exposes a public API.

Also in Threat intelligence, SIEM & detection

Same category — not a similarity match