Leaderboard github.com
jIskCoder/work-sessions
unreviewed-ai-risk
AI provenance
64%
explicit
- Confidence
- 71%
- Coverage
- 100%
Estimated share of AI-generated code. Explicit attribution is a lower bound.
Code quality
52/100
weak
- Confidence
- 90%
- Coverage
- 100%
Complexity, duplication, lint density, tests, CI, docs and review process.
Security
66/100
weak
- Confidence
- 85%
- Coverage
- 100%
Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.
AI provenance
64% explicit
Explicit AI attribution on 64% of first-party code added; an estimated 64% including velocity signals.
How the score is built
- Explicitly attributed share64%
- Unattributed share in AI-pace bursts0%
- Estimated AI-generated share64%
- AI tool configuration files0
- Work sessions at AI pace0
- Releases at AI pacenot measured
- Coding-style index (1.0+ means possible)0.00
Attributed AI tools
| Tool | Commits | Lines added | First seen | Last seen |
|---|---|---|---|---|
| Claude Code | 2 | 1,011 | 2026-11-10 | 2026-11-10 |
Lines added per month all AI-attributed share
- 2026-111,587 · 64% AI
Findings in AI-attributed lines vs the rest
From git blame: 919 lines trace to AI-attributed commits, 247 to others. Too few lines in one group for a fair comparison. Reported, not scored.
| Findings per 1,000 lines | AI-attributed | Other | Ratio |
|---|---|---|---|
| Code quality | 44.61 | 8.10 | — |
| Security | 14.15 | 0.00 | — |
Evidence by analyzer
Explicit AI attributionok3 items
- Claude Code: 2 attributed commits, 1,011 lines added
- Claude Code: trailer 'Co-Authored-By: Claude'
- Claude Code: trailer 'Co-Authored-By: Claude'
- attributed_commit_share
- 33.3%
- attributed_commits
- 2
- attributed_loc
- 1,011
- attributed_loc_share
- 63.7%
- commits
- 6
- effective_loc
- 1,587
- tools_detected
- 1
AI tool configurationok
- artifacts
- 0
- tools_configured
- 0
- workflow_agents
- 0
Commit velocityok
- excluded_import_loc
- 0
- flagged_loc
- 0
- flagged_loc_share
- 0.0%
- flagged_units
- 0
- max_loc_per_hour
- 381.43
- measured_loc
- 1,587
- median_loc_per_hour
- 252.75
- pr_timed_units
- 0
- pre_ai_era_burst_loc
- 0
- pre_ai_era_bursts
- 0
- pre_ai_era_measured_loc
- 0
- work_units
- 3
Release velocityskipped
Coding styleok
- count:assistant_voice
- 0
- count:emoji_in_code
- 0
- count:narrated_steps
- 0
- count:placeholder
- 0
- files:assistant_voice
- 0
- files:emoji_in_code
- 0
- files:narrated_steps
- 0
- files:placeholder
- 0
- index
- 0
- lines_scanned
- 1,166
- per_kloc:assistant_voice
- 0
- per_kloc:emoji_in_code
- 0
- per_kloc:narrated_steps
- 0
- per_kloc:placeholder
- 0
Findings in AI-written linesok
- ai_lines
- 919
- blame_failures
- 0
- files_blamed
- 7
- other_lines
- 247
- quality:ai_findings
- 41
- quality:ai_per_kloc
- 44.61
- quality:other_findings
- 2
- quality:other_per_kloc
- 8.10
- security:ai_findings
- 13
- security:ai_per_kloc
- 14.15
- security:other_findings
- 0
- security:other_per_kloc
- 0
Code quality
52 weak
Code quality is weak: test-to-source ratio 0.35, no CI test run detected; 16% of function code in complex or long functions; 1% duplicated lines. Weakest area: lint.
How the score is built
- Complexity61
- Duplication92
- Lint and smells1
- Tests and CI48
- Documentation65
- Type safety40
- Review processnot measured
Evidence by analyzer
Complexity (lizard)ok10 items
- read_export in import_monday.py: complexity 76, 142 lines
- _computeLabelItems in static/chart.umd.js: complexity 41, 1 lines
- Ee in static/chart.umd.js: complexity 35, 1 lines
- n in static/chart.umd.js: complexity 33, 1 lines
- write_config in import_monday.py: complexity 32, 37 lines
- do_POST in app.py: complexity 27, 74 lines
- do_PATCH in app.py: complexity 21, 37 lines
- updateElements in static/chart.umd.js: complexity 20, 1 lines
- build in demo_data.py: complexity 19, 39 lines
- updateElements in static/chart.umd.js: complexity 18, 1 lines
- complex_functions
- 12
- function_nloc
- 2,062
- functions
- 1,377
- long_functions
- 1
- many_param_functions
- 0
- mean_ccn
- 3.15
- p90_ccn
- 6
- risky_nloc_share
- 16.3%
Duplication (jscpd)ok1 item
- compared_lines
- 991
- duplicated_lines
- 14
- duplicated_share
- 1.4%
- files
- 7
Lintok
- category:best-practice
- 2
- category:correctness
- 31
- category:maintainability
- 10
- findings
- 43
- scanned_lines
- 1,166
- weighted_findings
- 19.75
Tests and CIok
- check:ci_present
- no
- check:ci_runs_lint
- no
- check:ci_runs_tests
- no
- check:has_tests
- yes
- check:test_ratio
- no
- check:tests_cochange
- yes
- ci_files
- 0
- cochange_commits
- 4
- cochange_share
- 25.0%
- source_lines
- 1,166
- test_lines
- 413
- test_ratio
- 0.35
Documentationok2 items
- README.md
README.md - LICENSE
LICENSE
- check:changelog
- no
- check:contributing
- no
- check:license
- yes
- check:readme
- yes
- readme_lines
- 115
Type safetyok
- check:low_escape_density
- yes
- check:strict_config
- no
- escapes
- 0
- escapes_per_kloc
- 0
Security
66 weak
Security posture is weak: 4 high-severity SAST findings. Weakest area: posture.
How the score is built
- Secrets100
- Static analysis (SAST)22
- Vulnerable dependencies100
- CI workflowsnot measured
- Security posture0
- OpenSSF Scorecardnot measured
Evidence by analyzer
OpenSSF Scorecardskipped
no published OpenSSF Scorecard result for this repo
Package registriesok
- checked
- 2
- declared
- 2
- lookup_errors
- 0
- missing
- 0
- recent
- 0
Secrets (gitleaks)ok
- secrets_current
- 0
- secrets_history
- 0
- secrets_low_confidence
- 0
- secrets_nonprod
- 0
Static analysis (opengrep)ok
- findings
- 13
- findings_high
- 4
- findings_low
- 1
- findings_medium
- 8
- parse_errors
- 1
- scanned_lines
- 1,166
- weighted_findings
- 5.06
Dependencies (osv-scanner)ok
- penalty
- 0
- vulnerabilities
- 0
- vulnerable_packages
- 0
- vulns_critical
- 0
- vulns_high
- 0
- vulns_low
- 0
- vulns_medium
- 0
- vulns_unknown
- 0
CI workflows (zizmor)skipped
Security postureok
- check:dependency_updates
- no
- check:lockfiles
- yes
- check:security_policy
- no
- check:signed_commits
- no
- signed_commit_share
- 16.7%
- unpinned_manifests
- 0
Release downloadsok
- binary_assets
- 0
- signals
- 0
- suspicious
- 0
Findings
4 high20 medium32 low
56 findings
| Severity | Rule | Location | Message | Tool |
|---|---|---|---|---|
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query |
app.py:345 | Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used... | Static analysis (opengrep) |
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query |
app.py:420 | Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used... | Static analysis (opengrep) |
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query |
app.py:431 | Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used... | Static analysis (opengrep) |
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query |
app.py:452 | Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used... | Static analysis (opengrep) |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
app.py:105 | Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). | Lint |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
import_monday.py:332 | Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:42 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:43 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:44 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:45 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:46 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:47 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:48 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:49 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:50 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
import_monday.py:51 | `return` only makes sense inside a function | Lint |
| medium | opengrep/javascript.jquery.security.audit.jquery-insecure-selector |
static/chart.umd.js:13 | User controlled data in a `$(...)` is an anti-pattern that can lead to XSS vulnerabilities [confidence low] | Static analysis (opengrep) |
| medium | opengrep/javascript.jquery.security.audit.jquery-insecure-selector |
static/chart.umd.js:13 | User controlled data in a `$(...)` is an anti-pattern that can lead to XSS vulnerabilities [confidence low] | Static analysis (opengrep) |
| medium | opengrep/javascript.jquery.security.audit.jquery-insecure-selector |
static/chart.umd.js:13 | User controlled data in a `$(...)` is an anti-pattern that can lead to XSS vulnerabilities [confidence low] | Static analysis (opengrep) |
| medium | opengrep/javascript.lang.security.audit.prototype-pollution.prototype-pollution-loop |
static/chart.umd.js:13 | Possibility of prototype polluting function detected. By adding or modifying attributes of an object prototype, it is possible to create attributes that exist on every object, or replace critical attributes with malicious ones. This can... | Static analysis (opengrep) |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method |
static/chart.umd.js:13 | Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] | Static analysis (opengrep) |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method |
static/chart.umd.js:13 | Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] | Static analysis (opengrep) |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method |
static/chart.umd.js:13 | Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] | Static analysis (opengrep) |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method |
static/chart.umd.js:13 | Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] | Static analysis (opengrep) |
| low | opengrep/bash.lang.correctness.unquoted-variable-expansion-in-command |
macos/make-mac-app.sh:28 | 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 |
macos/make-mac-app.sh:30 | 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/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `e` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `c` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `h` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `o` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `a` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s.garbageCollect` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `e` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `h` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `p` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `p` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `n` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `n` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `s` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `c` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:13 | `h` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/javascript.lang.correctness.useless-assignment |
static/chart.umd.js:7 | `i` is assigned twice; the first assignment is useless | Lint |
| low | opengrep/python.lang.security.use-defusedcsv |
app.py:460 | Detected the generation of a CSV file using the built-in `csv` module. If user data is used to generate the data in this file, it is possible that an attacker could inject a formula when the CSV is imported into a spreadsheet... | Static analysis (opengrep) |
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 | skipped | — | 0 | |
| Coding style | AI provenance | ok | — | 0 | |
| Commit velocity | AI provenance | ok | prov-4 | 0 | |
| Findings in AI-written lines | AI provenance | ok | git-blame | 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 | 43 | |
| Tests and CI | Code quality | ok | — | 0 | |
| Type safety | Code quality | ok | — | 0 | |
| CI workflows (zizmor) | Security | skipped | — | 0 | |
| Dependencies (osv-scanner) | Security | ok | osv-scanner version: 2.7.1 | 0 | |
| Release downloads | Security | ok | — | 0 | |
| Security posture | Security | ok | — | 0 | |
| Package registries | Security | ok | — | 0 | |
| Static analysis (opengrep) | Security | ok | opengrep 1.33.1; rules f1d2b562b414 | 13 | |
| OpenSSF Scorecard | Security | skipped | — | 0 | no published OpenSSF Scorecard result for this repo |
| 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 | b850215f253b | prov-5+qual-2+sec-2 | 64% | 52 | 66 |
| 2026-11-14 | b850215f253b | prov-4+qual-2+sec-2 | 64% | 52 | 66 |
Full text report
- Repository: https://github.com/jIskCoder/work-sessions
- Commit:
b850215f253b45e078ca9e63004e044393a9dc48 - Generated: 2026-11-14T14:52:05+00:00
- Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2
Scores
Unreviewed AI code risk: a large share of this code is explicitly AI-attributed, and its tests or review process are weak while quality or security scores are low.
| Pillar | Score | Signal | Confidence | Coverage |
|---|---|---|---|---|
| AI provenance (estimated AI-generated share) | 64 | explicit | 71% | 100% |
| Code quality | 52 | weak | 90% | 100% |
| Security | 66 | weak | 85% | 100% |
AI provenance
Explicit AI attribution on 64% of first-party code added; an estimated 64% including velocity signals.
- Explicitly attributed share (lower bound): 63.7%
- Unattributed share in AI-consistent velocity bursts: 0.0%
- Estimated AI-generated share: 63.7%
| AI tool | Attributed commits | Lines added |
|---|---|---|
| Claude Code | 2 | 1,011 |
Current source lines last changed by AI-attributed commits: 919 of 1,166.
Too few lines in one group to compare finding densities.
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2026-11 | 1,587 | 64% |
Evidence
- Claude Code: trailer 'Co-Authored-By: Claude' (6d4c580769cd)
- Claude Code: trailer 'Co-Authored-By: Claude' (684b506fa00c)
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 weak: test-to-source ratio 0.35, no CI test run detected; 16% of function code in complex or long functions; 1% duplicated lines. Weakest area: lint.
| Area | Score |
|---|---|
| Complexity (lizard) | 61 |
| Duplication | 92 |
| Code smells (Opengrep) | 1 |
| Tests and CI | 48 |
| Documentation | 65 |
| Type safety | 40 |
| Process (Scorecard review/maintenance) | n/a |
- Functions: 1,377; mean complexity 3.1, 90th percentile 6; 12 complex and 1 long functions
- Duplicated lines: 1.4% of 991 compared
- Tests: 413 test lines for 1,166 source lines (ratio 0.35); CI test commands: none detected; 25% of recent source commits also change tests
- Docs missing or thin: contributing, changelog
Most complex functions:
- read_export in import_monday.py: complexity 76, 142 lines
- _computeLabelItems in static/chart.umd.js: complexity 41, 1 lines
- Ee in static/chart.umd.js: complexity 35, 1 lines
- n in static/chart.umd.js: complexity 33, 1 lines
- write_config in import_monday.py: complexity 32, 37 lines
Security
Security posture is weak: 4 high-severity SAST findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 100 |
| Static analysis (Opengrep) | 22 |
| Vulnerable dependencies (OSV) | 100 |
| CI workflows (zizmor) | n/a |
| Posture (policy, updates, signing, lockfiles) | 0 |
| OpenSSF Scorecard | n/a |
- Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits
Top findings
| Severity | Finding | Location |
|---|---|---|
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query: Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used prepared statement with named parameters. For complex SQL composition [confidence low] |
app.py:345 |
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query: Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used prepared statement with named parameters. For complex SQL composition [confidence low] |
app.py:420 |
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query: Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used prepared statement with named parameters. For complex SQL composition [confidence low] |
app.py:431 |
| high | opengrep/python.sqlalchemy.security.sqlalchemy-execute-raw-query: Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used prepared statement with named parameters. For complex SQL composition [confidence low] |
app.py:452 |
| medium | opengrep/javascript.lang.security.audit.prototype-pollution.prototype-pollution-loop: Possibility of prototype polluting function detected. By adding or modifying attributes of an object prototype, it is possible to create attributes that exist on every object, or replace critical attributes with malicious ones. This can be problematic if the software depends on existence or non-exis [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method: Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method: Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method: Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.lang.security.audit.unsafe-dynamic-method: Using non-static data to retrieve and run functions from the object is dangerous. If the data is user-controlled, it may allow executing arbitrary code. [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.jquery.security.audit.jquery-insecure-selector: User controlled data in a $(...) is an anti-pattern that can lead to XSS vulnerabilities [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.jquery.security.audit.jquery-insecure-selector: User controlled data in a $(...) is an anti-pattern that can lead to XSS vulnerabilities [confidence low] |
static/chart.umd.js:13 |
| medium | opengrep/javascript.jquery.security.audit.jquery-insecure-selector: User controlled data in a $(...) is an anti-pattern that can lead to XSS vulnerabilities [confidence low] |
static/chart.umd.js:13 |
| low | opengrep/python.lang.security.use-defusedcsv: Detected the generation of a CSV file using the built-in csv module. If user data is used to generate the data in this file, it is possible that an attacker could inject a formula when the CSV is imported into a spreadsheet application that runs an attacker script, which could steal data from the [confidence low] |
app.py:460 |
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: 1,166; test lines: 413
| Language | Lines |
|---|---|
| Python | 1,415 |
| Shell | 150 |
| JavaScript | 14 |