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AI Slop Code RIsk Monitor

disposable-email-domains/disposable-email-domains

a list of disposable email domains

46.5 High pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for disposable-email-domains/disposable-email-domains, a Python project with 5,560 GitHub stars. SynthScan examined 2,208 lines of code across 14 source files, recording 68 pattern matches distributed across 7 syntactic categories. The legacy adjusted pattern signal is 46.5 (High pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

46.5
Adjusted Signal
46.5
Raw Pattern Score
100%
Time Factor
2026-10-11
Last Push
5.6K
Stars
Python
Language
2.2K
Lines of Code
14
Files
68
Pattern Hits
2026-10-12
Scan Date
0.29
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 19.4/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 15 finding(s).

Hallucinated Dependency & Supply Chain Risk 7.6/100 · LOW

Are imports declared and package/API names verified? 2 finding(s).

Agent Over-Engineering Ratio 87.9/100 · CRITICAL

Are wrappers, guards, and repeated structures necessary? 55 finding(s).

PR Review Velocity Impact 94.7/100 · CRITICAL

Which changes need focused human review? 68 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 4MEDIUM 21LOW 43

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 68 distinct pattern matches across 7 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Excessive Try-Catch Wrapping47 hits · 74 pts
SeverityFileLineSnippetContext
MEDIUM⚡fetch_domains.py118 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py139 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py146 print(f"Error parsing JSON from {self.name}: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py233 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py239 print(f"Error parsing JSON from {self.name}: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py280 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py284 print(f"Error parsing data from {self.name}: malformed response", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py288 print(f"Error from {self.name}: API reported failure", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py293 print(f"Error parsing data from {self.name}: malformed response", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py382 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py388 print(f"Error parsing JSON from {self.name}: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py468 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py499 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUM⚡fetch_domains.py505 print(f"Error parsing JSON from {self.name}: {e}", file=sys.stderr)CODE
MEDIUMfetch_domains.py68 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUMfetch_domains.py191 print(f"Error: Malformed response from {self.name} while fetching domains.", file=sys.stderr)CODE
MEDIUMfetch_domains.py212 print(f"Error fetching {self.name} domains (keeping {len(domains)} domain(s) collected so far): {e}", file=sCODE
MEDIUMfetch_domains.py338 print(f"Error fetching {self.name} domains (attempt {attempt + 1}): {e}", file=sys.stderr)CODE
MEDIUMfetch_domains.py616 print(f"Error fetching {self.name} domains: {e}", file=sys.stderr)CODE
MEDIUMfetch_domains.py654 print(f"Error loading Public Suffix List: {e}", file=sys.stderr)CODE
MEDIUMfetch_domains.py693 print(f"Error processing {fetcher.get_name()}: {e}", file=sys.stderr)CODE
LOW⚡fetch_domains.py114 except Exception:CODE
LOW⚡fetch_domains.py117 except Exception as e:CODE
LOW⚡fetch_domains.py138 except Exception as e:CODE
LOW⚡fetch_domains.py145 except Exception as e:CODE
LOW⚡fetch_domains.py232 except Exception as e:CODE
LOW⚡fetch_domains.py238 except Exception as e:CODE
LOW⚡fetch_domains.py279 except Exception as e:CODE
LOW⚡fetch_domains.py381 except Exception as e:CODE
LOW⚡fetch_domains.py387 except Exception as e:CODE
LOW⚡fetch_domains.py461 except Exception:CODE
LOW⚡fetch_domains.py467 except Exception as e:CODE
LOW⚡fetch_domains.py498 except Exception as e:CODE
LOW⚡fetch_domains.py504 except Exception as e:CODE
LOWfetch_domains.py67 except Exception as e:CODE
LOWfetch_domains.py211 except Exception as e:CODE
LOWfetch_domains.py337 except Exception as e:CODE
LOWfetch_domains.py615 except Exception as e:CODE
LOWfetch_domains.py653 except Exception as e:CODE
LOWfetch_domains.py692 except Exception as e:CODE
LOWscripts/discover_new_domains.py294 except Exception:CODE
LOWscripts/discover_new_domains.py308 except Exception:CODE
LOWscripts/discover_new_domains.py413 except Exception as nav_error:CODE
LOWscripts/discover_new_domains.py484 except Exception as ss_err:CODE
LOWscripts/discover_new_domains.py513 except Exception as e:CODE
LOWscripts/discover_new_domains.py517 except Exception as e:CODE
LOWscripts/discover_new_domains.py576 except Exception as e:CODE
Empty Error Handlers3 hits · 15 pts
SeverityFileLineSnippetContext
HIGHfetch_domains.py461except Exception:CODE
HIGHscripts/discover_new_domains.py294except Exception:CODE
HIGHscripts/discover_new_domains.py308except Exception:CODE
Deep Nesting11 hits · 6 pts
SeverityFileLineSnippetContext
LOWfetch_domains.py16CODE
LOWfetch_domains.py641CODE
LOWfetch_domains.py95CODE
LOWfetch_domains.py133CODE
LOWfetch_domains.py179CODE
LOWfetch_domains.py262CODE
LOWfetch_domains.py376CODE
LOWfetch_domains.py429CODE
LOWfetch_domains.py493CODE
LOWfetch_domains.py589CODE
LOWscripts/discover_new_domains.py323CODE
Hyper-Verbose Identifiers4 hits · 4 pts
SeverityFileLineSnippetContext
LOWfetch_domains.py16def extract_domains_from_text(text: str) -> Set[str]:CODE
LOWverify.py53def check_for_public_suffixes(filename, psl, psl_local):CODE
LOWverify.py67def check_for_invalid_level_domains(filename, psl, psl_local):CODE
LOWscripts/discover_new_domains.py230def load_screenshotted_domains(screenshot_dir):CODE
Cross-Language Confusion1 hit · 2 pts
SeverityFileLineSnippetContext
HIGHscripts/discover_new_domains.py393 Object.defineProperty(navigator, 'webdriver', { get: () => undefined });STRING
Unused Imports1 hit · 1 pts
SeverityFileLineSnippetContext
LOWverify.py12CODE
Modern Structural Boilerplate1 hit · 1 pts
SeverityFileLineSnippetContext
LOWscripts/discover_new_domains.py117logger = logging.getLogger(__name__)CODE