Leaderboard github.com
NMAC427/SwiftOCR
Fast and simple OCR library written in Swift
AI provenance
0%
none-detected
- Confidence
- 65%
- Coverage
- 100%
Estimated share of AI-generated code. Explicit attribution is a lower bound.
Code quality
40/100
poor
- Confidence
- 90%
- Coverage
- 100%
Complexity, duplication, lint density, tests, CI, docs and review process.
Security
69/100
weak
- Confidence
- 85%
- Coverage
- 100%
Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.
AI provenance
0% none-detected
No AI attribution or AI-consistent velocity signals detected.
How the score is built
- Explicitly attributed share0%
- Unattributed share in AI-pace bursts0%
- Estimated AI-generated share0%
- AI tool configuration files0
- Work sessions at AI pace0
- Releases at AI pace0
- Coding-style index (1.0+ means possible)0.36
Lines added per month all AI-attributed share
- 2016-0449,428 · 0% AI
- 2016-051,309 · 0% AI
- 2016-06317 · 0% AI
- 2016-07271 · 0% AI
- 2016-10393 · 0% AI
- 2016-11237 · 0% AI
- 2016-123 · 0% AI
- 2017-040 · 0% AI
- 2017-0912 · 0% AI
- 2017-1059 · 0% AI
- 2017-110 · 0% AI
- 2018-060 · 0% AI
- 2018-103 · 0% AI
- 2019-0116 · 0% AI
- 2019-020 · 0% AI
- 2019-030 · 0% AI
- 2019-1119 · 0% AI
- 2020-0530 · 0% AI
- 2020-120 · 0% AI
Evidence by analyzer
Explicit AI attributionok
- attributed_commit_share
- 0.0%
- attributed_commits
- 0
- attributed_loc
- 0
- attributed_loc_share
- 0.0%
- commits
- 127
- effective_loc
- 52,097
- tools_detected
- 0
AI tool configurationok
- artifacts
- 0
- tools_configured
- 0
- workflow_agents
- 0
Commit velocityok
- excluded_import_loc
- 48,835
- flagged_loc
- 0
- flagged_loc_share
- 0.0%
- flagged_units
- 0
- max_loc_per_hour
- 129.83
- measured_loc
- 3,262
- median_loc_per_hour
- 37.25
- pr_timed_units
- 0
- pre_ai_era_burst_loc
- 0
- pre_ai_era_bursts
- 0
- pre_ai_era_measured_loc
- 3,262
- work_units
- 56
Release velocityok
- flagged_releases
- 0
- max_loc_per_day
- 0.40
- releases
- 3
Coding styleok8 items
- step-by-step narration comment: // Step 1: convert to monochrome if necessary
- step-by-step narration comment: // Step 2: do a lookup at each pixel based on the Bresenham circle, encode comparison in two color components
- step-by-step narration comment: // Step 3: do non-maximum suppression of close corner points
- step-by-step narration comment: // First, generate the normal Gaussian weights for a given sigma
- step-by-step narration comment: // Next, normalize these weights to prevent the clipping of the Gaussian curve at the end of the discrete samples from r
- step-by-step narration comment: // Finally, generate the shader from these weights
- step-by-step narration comment: // First, generate the normal Gaussian weights for a given sigma
- step-by-step narration comment: // Next, normalize these weights to prevent the clipping of the Gaussian curve at the end of the discrete samples from r
- count:assistant_voice
- 0
- count:emoji_in_code
- 0
- count:narrated_steps
- 18
- count:placeholder
- 0
- files:assistant_voice
- 0
- files:emoji_in_code
- 0
- files:narrated_steps
- 5
- files:placeholder
- 0
- index
- 0.36
- lines_scanned
- 49,411
- per_kloc:assistant_voice
- 0
- per_kloc:emoji_in_code
- 0
- per_kloc:narrated_steps
- 0.36
- per_kloc:placeholder
- 0
Code quality
40 poor
Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 20% of function code in complex or long functions; 29% duplicated lines. Weakest area: testing.
How the score is built
- Complexity55
- Duplication18
- Lint and smells99
- Tests and CI0
- Documentation65
- Type safetynot measured
- Review process30
Evidence by analyzer
Complexity (lizard)ok10 items
- changeSelectedRow: ; in framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m: complexity 130, 972 lines
- tableView: cellForRowAtIndexPath: in framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterListController.m: complexity 120, 133 lines
- setupFilter.switch in framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterViewController.m: complexity 118, 998 lines
- tableView: objectValueForTableColumn: row: in framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m: complexity 112, 119 lines
- updateFilterFromSlider: ; in framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterViewController.m: complexity 71, 101 lines
- setCurrentSliderValue: ; in framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m: complexity 69, 97 lines
- extractBlobs in framework/SwiftOCR/SwiftOCR.swift: complexity 51, 147 lines
- printSupportedPixelFormats.for in framework/SwiftOCR/GPUImage-master/framework/Source/Mac/GPUImageAVCamera.m: complexity 43, 50 lines
- initWithCGImage: smoothlyScaleOutput: removePremultiplication: ; in framework/SwiftOCR/GPUImage-master/framework/Source/iOS/GPUImagePicture.m: complexity 33, 146 lines
- newFrameReadyAtTime: atIndex: ; in framework/SwiftOCR/GPUImage-master/framework/Source/GPUImageFourInputFilter.m: complexity 32, 119 lines
- complex_functions
- 20
- function_nloc
- 22,775
- functions
- 1,987
- long_functions
- 19
- many_param_functions
- 1
- mean_ccn
- 2.12
- p90_ccn
- 3
- risky_nloc_share
- 19.8%
Duplication (jscpd)ok10 items
- 6+ duplicated lines: example/OS X/SwiftOCR Debug OS X/SwiftOCR Debug OS X/AppDelegate.swift:6 and example/OS X/SwiftOCR Training/SwiftOCR Training/AppDelegate.swift:6
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.h:4 and framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterViewController.h:4
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m:16 and framework/SwiftOCR/GPUImage-master/examples/Mac/MultiViewFilterExample/MultiViewFilterExample/SLSMultiViewWindowController.m:11
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m:579 and framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m:823
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcaseSwift/FilterShowcaseSwiftTests/FilterShowcaseSwiftTests.swift:14 and framework/SwiftOCRTests/SwiftOCRTests.swift:30
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/ShaderDesigner/ShaderDesigner/ShaderDesignerWindowController.m:80 and framework/SwiftOCR/GPUImage-master/examples/Mac/ShaderDesigner/ShaderDesigner/ShaderDesignerWindowController.m:105
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFileFilter/SimpleVideoFilter/AppDelegate.m:1 and framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFilter/SimpleVideoFilter/AppDelegate.m:1
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFileFilter/SimpleVideoFilter/SLSSimpleVideoFileFilterWindowController.m:58 and framework/SwiftOCR/GPUImage-master/examples/iOS/SimpleVideoFileFilter/SimpleVideoFileFilter/SimpleVideoFileFilterViewController.m:27
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFileFilter/SimpleVideoFilter/main.m:2 and framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFilter/SimpleVideoFilter/main.m:2
- 6+ duplicated lines: framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFileFilter/SimpleVideoFilterTests/SimpleVideoFilterTests.m:2 and framework/SwiftOCR/GPUImage-master/examples/Mac/SimpleVideoFilter/SimpleVideoFilterTests/SimpleVideoFilterTests.m:2
- compared_lines
- 30,710
- duplicated_lines
- 8,813
- duplicated_share
- 28.7%
- files
- 488
Lintok
- category:correctness
- 2
- findings
- 2
- scanned_lines
- 9,692
- weighted_findings
- 0.50
Tests and CIok
- check:ci_present
- no
- check:ci_runs_lint
- no
- check:ci_runs_tests
- no
- check:has_tests
- no
- check:test_ratio
- no
- check:tests_cochange
- no
- ci_files
- 0
- cochange_commits
- 74
- cochange_share
- 0.0%
- source_lines
- 49,411
- test_lines
- 0
- test_ratio
- 0
Documentationok2 items
- README.md
README.md - LICENSE
LICENSE
- check:changelog
- no
- check:contributing
- no
- check:license
- yes
- check:readme
- yes
- readme_lines
- 73
Type safetyskipped
Security
69 weak
Security posture is weak: no high-impact findings. Weakest area: posture.
How the score is built
- Secrets100
- Static analysis (SAST)86
- Vulnerable dependenciesnot measured
- CI workflowsnot measured
- Security posture0
- OpenSSF Scorecard25
Evidence by analyzer
OpenSSF Scorecardok9 items
- Scorecard Code-Review: 6/10 (Found 11/18 approved changesets -- score normalized to 6)
- Scorecard Maintained: 0/10 (0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0)
- Scorecard Binary-Artifacts: 10/10 (no binaries found in the repo)
- Scorecard CII-Best-Practices: 0/10 (no effort to earn an OpenSSF best practices badge detected)
- Scorecard Security-Policy: 0/10 (security policy file not detected)
- Scorecard Fuzzing: 0/10 (project is not fuzzed)
- Scorecard License: 10/10 (license file detected)
- Scorecard Branch-Protection: 0/10 (branch protection not enabled on development/release branches)
- Scorecard SAST: 0/10 (SAST tool is not run on all commits -- score normalized to 0)
- aggregate
- 2.90
- check:Binary-Artifacts
- yes
- check:Branch-Protection
- no
- check:CII-Best-Practices
- no
- check:Code-Review
- yes
- check:Fuzzing
- no
- check:License
- yes
- check:Maintained
- no
- check:SAST
- no
- check:Security-Policy
- no
Package registriesskipped
no registry dependencies declared
Secrets (gitleaks)ok
- secrets_current
- 0
- secrets_history
- 0
- secrets_low_confidence
- 0
- secrets_nonprod
- 0
Static analysis (opengrep)ok
- findings
- 16
- findings_high
- 0
- findings_low
- 0
- findings_medium
- 16
- parse_errors
- 179
- scanned_lines
- 9,692
- weighted_findings
- 4
Dependencies (osv-scanner)skipped
CI workflows (zizmor)skipped
Security postureok
- check:dependency_updates
- no
- check:lockfiles
- yes
- check:security_policy
- no
- check:signed_commits
- no
- signed_commit_share
- 3.9%
- unpinned_manifests
- 0
Release downloadsok
- binary_assets
- 0
- signals
- 0
- suspicious
- 0
Findings
16 medium2 low
18 findings
| Severity | Rule | Location | Message | Tool |
|---|---|---|---|---|
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/Extensions.swift:46 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/FFNN/FFNN.swift:567 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/FFNN/Random.swift:16 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:105 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:160 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:161 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:162 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:163 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:222 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:239 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:240 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:241 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:242 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:61 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:76 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| medium | opengrep/swift.lang.crypto.insecure-random |
framework/SwiftOCR/SwiftOCRTraining.swift:82 | A random number generator was detected which is **not** *guaranteed* to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the... | Static analysis (opengrep) |
| low | opengrep/bash.lang.correctness.unquoted-variable-expansion-in-command |
framework/SwiftOCR/GPUImage-master/build.sh:10 | Variable expansions must be double-quoted so as to prevent being split into multiple pieces according to whitespace or whichever separator is specified by the IFS variable. If you really wish to split the variable's contents, you may... | Lint |
| low | opengrep/bash.lang.correctness.unquoted-variable-expansion-in-command |
framework/SwiftOCR/GPUImage-master/build.sh:11 | Variable expansions must be double-quoted so as to prevent being split into multiple pieces according to whitespace or whichever separator is specified by the IFS variable. If you really wish to split the variable's contents, you may... | Lint |
Tools and coverage
Every analyzer that ran on this commit. A failed or skipped tool is a coverage gap: its share of the score is left out and the coverage figure drops.
| Analyzer | Pillar | Status | Version | Findings | Note |
|---|---|---|---|---|---|
| AI tool configuration | AI provenance | ok | signatures-v1 | 0 | |
| Explicit AI attribution | AI provenance | ok | signatures-v1 | 0 | |
| Release velocity | AI provenance | ok | prov-4 | 0 | |
| Coding style | AI provenance | ok | — | 0 | |
| Commit velocity | AI provenance | ok | prov-4 | 0 | |
| Complexity (lizard) | Code quality | ok | lizard 1.25.1 | 0 | |
| Documentation | Code quality | ok | — | 0 | |
| Duplication (jscpd) | Code quality | ok | repotrust-dup-w6 | 0 | |
| Lint | Code quality | ok | opengrep 1.33.1; rules f1d2b562b414 | 2 | |
| Tests and CI | Code quality | ok | — | 0 | |
| Type safety | Code quality | skipped | — | 0 | |
| CI workflows (zizmor) | Security | skipped | — | 0 | |
| Dependencies (osv-scanner) | Security | skipped | — | 0 | |
| Release downloads | Security | ok | — | 0 | |
| Security posture | Security | ok | — | 0 | |
| Package registries | Security | skipped | — | 0 | no registry dependencies declared |
| Static analysis (opengrep) | Security | ok | opengrep 1.33.1; rules f1d2b562b414 | 16 | |
| OpenSSF Scorecard | Security | ok | scorecard v5.6.0 | 0 | |
| Secrets (gitleaks) | Security | ok | gitleaks 8.30.1 | 0 |
Score history
Scores from different scoring versions aren't directly comparable.
| Scored | Commit | Scoring | AI provenance | Quality | Security |
|---|---|---|---|---|---|
| 2026-11-14 | 99a1d90a5f3d | prov-5+qual-2+sec-2 | 0% | 40 | 69 |
| 2026-11-14 | 99a1d90a5f3d | prov-4+qual-2+sec-2 | 0% | 40 | 69 |
Full text report
- Repository: https://github.com/NMAC427/SwiftOCR
- Commit:
99a1d90a5f3ddef51492bca8f6606f2a60e18ffe - Generated: 2026-11-14T14:52:01+00:00
- Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2
Scores
| Pillar | Score | Signal | Confidence | Coverage |
|---|---|---|---|---|
| AI provenance (estimated AI-generated share) | 0 | none-detected | 65% | 100% |
| Code quality | 40 | poor | 90% | 100% |
| Security | 69 | weak | 85% | 100% |
AI provenance
No AI attribution or AI-consistent velocity signals detected.
-
Explicitly attributed share (lower bound): 0.0%
-
Unattributed share in AI-consistent velocity bursts: 0.0%
-
Estimated AI-generated share: 0.0%
-
Stylometry index: 0.36 per 1,000 lines (narrated steps 18, placeholders 0, assistant phrasing 0, emoji 0). Reported as a signal, not scored.
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2016-05 | 1,309 | 0% |
| 2016-06 | 317 | 0% |
| 2016-07 | 271 | 0% |
| 2016-10 | 393 | 0% |
| 2016-11 | 237 | 0% |
| 2016-12 | 3 | 0% |
| 2017-09 | 12 | 0% |
| 2017-10 | 59 | 0% |
| 2018-10 | 3 | 0% |
| 2019-01 | 16 | 0% |
| 2019-11 | 19 | 0% |
| 2020-05 | 30 | 0% |
Evidence
- step-by-step narration comment: // Step 1: convert to monochrome if necessary (framework/Sw)
- step-by-step narration comment: // Step 2: do a lookup at each pixel based on the Bresenham circle, encode comparison in two color components (framework/Sw)
- step-by-step narration comment: // Step 3: do non-maximum suppression of close corner points (framework/Sw)
- step-by-step narration comment: // First, generate the normal Gaussian weights for a given sigma (framework/Sw)
- step-by-step narration comment: // Next, normalize these weights to prevent the clipping of the Gaussian curve at the end of the discrete samples from r (framework/Sw)
- step-by-step narration comment: // Finally, generate the shader from these weights (framework/Sw)
- step-by-step narration comment: // First, generate the normal Gaussian weights for a given sigma (framework/Sw)
- step-by-step narration comment: // Next, normalize these weights to prevent the clipping of the Gaussian curve at the end of the discrete samples from r (framework/Sw)
AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.
Code quality
Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 20% of function code in complex or long functions; 29% duplicated lines. Weakest area: testing.
| Area | Score |
|---|---|
| Complexity (lizard) | 55 |
| Duplication | 18 |
| Code smells (Opengrep) | 99 |
| Tests and CI | 0 |
| Documentation | 65 |
| Type safety | n/a |
| Process (Scorecard review/maintenance) | 30 |
- Functions: 1,987; mean complexity 2.1, 90th percentile 3; 20 complex and 19 long functions
- Duplicated lines: 28.7% of 30,710 compared
- Tests: 0 test lines for 49,411 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
- Docs missing or thin: contributing, changelog
Most complex functions:
- changeSelectedRow: ; in framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m: complexity 130, 972 lines
- tableView: cellForRowAtIndexPath: in framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterListController.m: complexity 120, 133 lines
- setupFilter.switch in framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterViewController.m: complexity 118, 998 lines
- tableView: objectValueForTableColumn: row: in framework/SwiftOCR/GPUImage-master/examples/Mac/FilterShowcase/SLSFilterShowcaseWindowController.m: complexity 112, 119 lines
- updateFilterFromSlider: ; in framework/SwiftOCR/GPUImage-master/examples/iOS/FilterShowcase/FilterShowcase/ShowcaseFilterViewController.m: complexity 71, 101 lines
Security
Security posture is weak: no high-impact findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 100 |
| Static analysis (Opengrep) | 86 |
| Vulnerable dependencies (OSV) | n/a |
| CI workflows (zizmor) | n/a |
| Posture (policy, updates, signing, lockfiles) | 0 |
| OpenSSF Scorecard | 25 |
- Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits
- OpenSSF Scorecard aggregate: 2.9/10 (published 2026-11-09)
Top findings
| Severity | Finding | Location |
|---|---|---|
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/Extensions.swift:46 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/FFNN/FFNN.swift:567 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/FFNN/Random.swift:16 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:61 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:76 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:82 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:105 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:160 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:161 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:162 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:163 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:222 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:239 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:240 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:241 |
| medium | opengrep/swift.lang.crypto.insecure-random: A random number generator was detected which is not guaranteed to be Cryptographically secure. If the source of entropy is used for security purposes (e.g. with other Cryptographic operations), make sure to use the SecCopyRandomBytes API explicitly. [confidence low] |
framework/SwiftOCR/SwiftOCRTraining.swift:242 |
Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.
Repository profile
- Source lines: 49,411; test lines: 0
| Language | Lines |
|---|---|
| Objective-C | 39,719 |
| C | 5,011 |
| Swift | 4,650 |
| Shell | 31 |