Skip to content
Tech wire
Agentic AI Foundation adds four more open-source AI toolsSiliconANGLESurvey: AI Coding Tools Increase Open Source Software DependenciesDevOps.comDeepSeek seeks ‘total victory’ with new open-source tool to slash AI costSouth China Morning PostDeepSeek Unveils Open-Source Tool to Help Cut AI Operating CostsBloomberg.comAI Hacks Are Coming Thick and Fast and Overwhelming the InternetWSJFrom Senior Engineer to Tech Lead: Leading AI-Enabled Software TeamsBoston UniversityGovernment websites go dark after AI-discovered flaw sparks security scrambleReutersGooglebook Adds Linux Developer Tools: What You Can Do With the New Terminal PreviewTechRepublicEuropean companies urged to play more active role in open source software developmentTech.euIs there an open-source infrastructure crisis in wealth management?FinTech GlobalRead This Website While You Still CanThe AtlanticThe internet has broken – again. Shouldn’t the tech firms that make billions from it pay to fix it? | Chris Stokel-WalkerThe GuardianOpen models have real benefits. Do they outweigh the risks?MIT Technology ReviewPerplexity to open source tool used to contain AI agentsYahoo Finance Australia

danielmiessler/SecLists

Establishedrank #133

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

74.3k+361 · 7d 25.2k 725est. MITPHPpushed 6m ago
Compare View on GitHub

Composite

71

conf 65%

Momentum

57

conf 60%

Vitality (PVI)

79

conf 67%

Community

60

conf 60%

Security & maint.

97

conf 85%

Ecosystem influence

69

conf 60%

Opportunity

59

conf 60%

Breakout · 7d

47%

conf 71%

Executive summary

SecLists is currently classified as established with a composite score of 71/100. Momentum (57) and vitality (79) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 361 stars against a 74.3k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 47%.

90-day trajectory

+1.5k · 30d
2026-07-282026-10-25

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%71
Star accelerationest.15%50
Fork velocityest.10%59
Contributor growthest.10%100
Issue activity growthest.10%32
PR activity growthest.10%43
External mention velocityest.10%4
Release event impactest.5%79
Trending-rank persistenceest.5%73

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%70
PR responsivenessest.15%69
Issue responsivenessest.15%73
Contributor diversityest.10%100
Maintainer continuityest.10%87
Documentation qualityest.5%56
Dependency freshnessest.5%55
Security hygieneest.5%55

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%90
Bus factorest.15%100

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%100
Quality-weighted dependentsest.20%88
Documentation citationsest.15%51
Contributor overlapest.15%65
Registry adoptionest.10%27
Topic centralityest.10%10

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption