AI Slop Code Risk Monitor

OWASP/CheatSheetSeries

Name: OWASP/CheatSheetSeries — JavaScript Code Quality & Security Review | AI Slop Code Risk Monitor
Creator: AI Slop Code Risk Monitor

Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

1.3 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for OWASP/CheatSheetSeries, a JavaScript project with 33,815 GitHub stars. SynthScan examined 53,068 lines of code across 216 source files, recording 30 pattern matches distributed across 9 syntactic categories. The legacy adjusted pattern signal is 1.3 (Low 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.

1.3

Adjusted Signal

1.3

Raw Pattern Score

100%

Time Factor

2026-10-30

Last Push

33.8K

Stars

JavaScript

Language

53.1K

Lines of Code

216

Files

Pattern Hits

2026-10-31

Scan Date

0.02

HC Hit Rate

Risk Review · Payload v1

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

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 3.0/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 19 finding(s).

Hallucinated Dependency & Supply Chain Risk 3.1/100 · LOW

Are imports declared and package/API names verified? 7 finding(s).

Agent Over-Engineering Ratio 0.8/100 · LOW

Are wrappers, guards, and repeated structures necessary? 8 finding(s).

PR Review Velocity Impact 6.7/100 · LOW

Which changes need focused human review? 30 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 3HIGH 1MEDIUM 6LOW 20

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 30 distinct pattern matches across 9 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.

Hallucination Indicators3 hits · 30 pts

Severity	File	Line	Snippet	Context
CRITICAL	cheatsheets/Error_Handling_Cheat_Sheet.md	39	org.apache.struts2.interceptor.debugging.DebuggingInterceptor.intercept(DebuggingInterceptor.java:256)	CODE
CRITICAL	cheatsheets/XML_Security_Cheat_Sheet.md	845	at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1459)	CODE
CRITICAL	cheatsheets/XML_Security_Cheat_Sheet.md	846	at com.sun.org.apache.xerces.internal.impl.XMLEntityManager.setupCurrentEntity(XMLEntityManager.java:674)	CODE

Modern AI Meta-Vocabulary6 hits · 13 pts

Severity	File	Line	Snippet	Context
MEDIUM	…AI-Powered_Advertising_Systems_Security_Cheat_Sheet.md	84	- Tier every agentic tool by risk. HITL (human-in-the-loop) approvals bind a six-tuple: actor, tool, target, normalized	CODE
MEDIUM	…tsheets/LLM_Prompt_Injection_Prevention_Cheat_Sheet.md	97	- See [Anthropic's mitigation strategies](https://platform.claude.com/docs/en/test-and-evaluate/strengthen-guardrails/mi	CODE
MEDIUM	…tsheets/LLM_Prompt_Injection_Prevention_Cheat_Sheet.md	129	### RAG Poisoning (Retrieval Attacks)	COMMENT
MEDIUM	…tsheets/LLM_Prompt_Injection_Prevention_Cheat_Sheet.md	324	Follow the [OpenAI guardrails and human-review documentation](https://developers.openai.com/api/docs/guides/agents/guard	STRING
MEDIUM	cheatsheets/RAG_Security_Cheat_Sheet.md	1	# Retrieval-Augmented Generation (RAG) Security Cheat Sheet	COMMENT
MEDIUM	cheatsheets/Authentication_Patterns_Cheat_Sheet.md	55	- Support for external and internal actors: As in the [embedded pattern](#service-level-embedded-authentication), wi	CODE

Structural Annotation Overuse5 hits · 8 pts

Severity	File	Line	Snippet	Context
LOW	cheatsheets/Abuse_Case_Cheat_Sheet.md	128	#### Step 1: Preparation of the workshop	COMMENT
LOW	cheatsheets/Abuse_Case_Cheat_Sheet.md	163	#### Step 2: During the workshop	COMMENT
LOW	cheatsheets/Abuse_Case_Cheat_Sheet.md	200	#### Step 3: After the workshop	COMMENT
LOW	cheatsheets/Abuse_Case_Cheat_Sheet.md	209	#### Step 4: During implementation - Abuse cases handling tracking	COMMENT
LOW	cheatsheets/Abuse_Case_Cheat_Sheet.md	223	#### Step 5: During implementation - Abuse cases handling validation	COMMENT

Synthetic Comment Markers1 hit · 5 pts

Severity	File	Line	Snippet	Context
HIGH	CONTRIBUTING.md	165	Templates for all issues and pull requests must be used, otherwise it suggests that they have been generated by AI witho	CODE

Fake / Example Data4 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	tests/link-check/corpus.test.js	142	expect("mailto:someone@example.org", "unverified", "unsupported-scheme");	CODE
LOW	…heets/Browser_Extension_Vulnerabilities_Cheat_Sheet.md	222	name: "Jane Doe",	CODE
LOW	cheatsheets/Kubernetes_Security_Cheat_Sheet.md	671	"username":"user@example.org",	CODE
LOW	cheatsheets/JSON_Web_Token_Cheat_Sheet.md	57	"name": "John Doe",	CODE

Hyper-Verbose Identifiers4 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	scripts/Update_CheatSheets_Index.py	14	def extract_languages_snippet_provided(cheatsheet):	CODE
LOW	cheatsheets/Cookie_Theft_Mitigation_Cheat_Sheet.md	95	function cookieTheftDetectionMiddleware(req, res, next) {	CODE
LOW	cheatsheets/AI_Agent_Security_Cheat_Sheet.md	237	def validate_no_sensitive_data(cls, v):	CODE
LOW	cheatsheets/AI_Agent_Security_Cheat_Sheet.md	274	def _detect_exfiltration_attempt(self, output: dict) -> bool:	CODE

Excessive Try-Catch Wrapping4 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	scripts/link_check/extract_links.py	152	except Exception as error: # Report any failure as an internal error.	CODE
LOW	cheatsheets/Multi_Tenant_Security_Cheat_Sheet.md	247	except Exception:	CODE
LOW	…/Server_Side_Request_Forgery_Prevention_Cheat_Sheet.md	222	except Exception as e:	CODE
LOW	…/Server_Side_Request_Forgery_Prevention_Cheat_Sheet.md	228	except Exception as e:	CODE

Deep Nesting2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	scripts/link_check/extract_links.py	74		CODE
LOW	scripts/link_check/extract_links.py	91		CODE

Over-Commented Block1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	mkdocs.yml	21	# theme:	COMMENT