Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 23:30 UTC

JonathanSalwan / ROPgadget

This tool lets you search your gadgets on your binaries to facilitate your ROP exploitation. ROPgadget supports ELF, PE and Mach-O format on x86, x64, ARM, ARM64, PowerPC, SPARC, MIPS, RISC-V 64, and RISC-V Compressed architectures.

PythonCustom license★ 4,462 stars⑂ 579 forkssince Aug 2011View on GitHub ↗
KindCommand-line toolhow this is determined

JonathanSalwan/ROPgadget holds a health index of 24 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (71/100) and lowest on Security (17/100). It was last updated 49 days ago. 2 contributors account for most of its recent work.

24
overall / 100
At Risk

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

24
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 48 is calibrated to 47 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 50% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

Jonathan SalwanPersonal account
3,086 followers14 public repossince Aug 2011

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

46Weak · 21% of overall
How it's scored
18/36Push recencylast push 49 days ago
4.2/36Commit cadence6/52 weeks with commits
8.1/18Commit volume7 commits in the last year
5/10OpenSSF Scorecard: Maintained3 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5
Inputs used
commits_last_year7
human_commit_share1
days_since_last_push49
active_weeks_last_year6
How it's scored
27/27Ships releases28 releases published
16.2/36Release recencylatest release 301 days ago
12.6/27Release cadencea release every ~134.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count28
latest_release_tagv7.7
releases_from_tagsno
days_since_latest_release301
mean_days_between_releases134.3
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

71Good · 17% of overall
How it's scored
59.2/60Stars4,462 stars
23/25Forks579 forks
11.4/15Watchers114 watchers
Inputs used
forks579
stars4,462
watchers114
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

70Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
13.3/22.5Commit distributiontop contributor authored 41% of commits
13.5/13.5Contributor breadth52 contributors
10/10OpenSSF Scorecard: Contributorsproject has 7 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled52
top_contributor_share0.409
How it's scored
36.8/42Issue resolution88% of issues closed
26.3/30PR acceptance101/115 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 13/30 approved changesets -- score normalized to 4
Inputs used
merged_prs101
open_issues13
closed_issues92
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.876
closed_unmerged_prs14
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
25/25Owner reach3,086 followers of JonathanSalwan
20.6/25Track record14 public repos, account ~14 yr old
Inputs used
followers3,086
owner_typeUser
is_verified
owner_loginJonathanSalwan
public_repos14
account_age_days5,472
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

38Weak · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests6 out of 17 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicsreverse-engineering, rop, rop-exploitation, rop-gadgets, binary-exploitation
has_wikino
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

17Critical · 16% of overall
How it's scored
0/7.5Binary-Artifactsbinaries present in source code
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0.8/2.5CI-Tests6 out of 17 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3/7.5Code-ReviewFound 13/30 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 7 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
3.8/7.5Maintained3 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5
0/5Packagingno data
1.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.4
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier50
security_posture_after_multiplier17
security_posture_before_jurisdiction34
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 50% multiplier and gives Security posture an At risk ceiling of 34.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

18Critical · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.3/40Legible commit history38 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.38
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
0/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
3/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsno
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/22 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes25,462
source_files_sampled22
oversized_source_files0

Key facts

4,462GitHub stars
52contributors
7commits, last 12 months
49days since last push
28releases
2bus factor
13open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 579 ⇿
0Stars
579Forks
28Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

010020030040050060056082012-112019-092026-07
Major 1Minor 0Patch 2

Each point covers 13 days.

OpenSSF Scorecard 3.4 / 10
3.4aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-12 23:29 UTC

0Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests6 out of 17 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 13/30 approved changesets -- score normalized to 4
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
5Maintained3 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 5
n/aPackagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 1

Full resolved dependency set from the GitHub dependency graph: 0 direct and 1 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcapstoneindirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics.