Repository Analysis

shadow1ng/fscan

一款内网综合扫描工具,方便一键自动化、全方位漏扫扫描。(An intranet comprehensive scanning tool, enabling one-click automated, all-round vulnerability scanning)

2.4 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of shadow1ng/fscan, a Go project with 14,139 GitHub stars. SynthScan v2.0 examined 162,309 lines of code across 897 source files, recording 133 pattern matches distributed across 8 syntactic categories. The overall adjusted score of 2.4 places this repository in the Likely human-written band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

2.4
Adjusted Score
2.4
Raw Score
100%
Time Factor
2026-07-10
Last Push
14.1K
Stars
Go
Language
162.3K
Lines of Code
897
Files
133
Pattern Hits
2026-07-14
Scan Date
0.00
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 1MEDIUM 98LOW 34

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 133 distinct pattern matches across 8 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. 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 diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Decorative Section Separators98 hits · 339 pts
SeverityFileLineSnippetContext
MEDIUMcore/port_scan.go874 // ── 阶段 1:网关启发式 ──────────────────────────────────COMMENT
MEDIUMcore/port_scan.go899 // ── 阶段 2:逐主机兜底(仅对网关未命中的子网)──────────COMMENT
MEDIUMplugins/services/cassandra.go71// ── raw TCP Cassandra CQL 协议 ──────────────────────────────────COMMENT
MEDIUMplugins/services/cassandra.go170// ── CQL wire protocol 工具 ──────────────────────────────────────COMMENT
MEDIUMplugins/services/cassandra.go252// ── 错误分类 ────────────────────────────────────────────────────COMMENT
MEDIUMplugins/services/cassandra.go267// ── 无认证 + 服务识别 ──────────────────────────────────────────COMMENT
MEDIUMplugins/services/mongodb.go90// ── raw TCP MongoDB SCRAM 认证 ──────────────────────────────────COMMENT
MEDIUMplugins/services/mongodb.go181// ── MongoDB wire protocol 工具 ──────────────────────────────────COMMENT
MEDIUMplugins/services/mongodb.go600// ── 服务识别 ────────────────────────────────────────────────────COMMENT
MEDIUMplugins/services/kafka.go66// ── raw TCP Kafka 实现 ──────────────────────────────────────────COMMENT
MEDIUMplugins/services/kafka.go154// ── Kafka 协议编解码 ────────────────────────────────────────────COMMENT
MEDIUMplugins/services/kafka.go220// ── 错误分类 ────────────────────────────────────────────────────COMMENT
MEDIUMplugins/services/kafka.go239// ── 服务识别 ────────────────────────────────────────────────────COMMENT
MEDIUMweb/api/project.go200// ─── HTTP Handlers ──────────────────────────────────────────────────────────COMMENT
MEDIUMfscan-lab/docker-compose.yml2 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml4 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml26 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml28 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml46 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml48 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml102 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml104 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml166 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml168 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml225 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml227 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml300 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml302 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml317 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml319 # ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml333# ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml335# ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml375# ============================================COMMENT
MEDIUMfscan-lab/docker-compose.yml377# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh27# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh29# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh38# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh40# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh45# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh47# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh53# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh55# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh61# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh63# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh69# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh71# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh76# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh78# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh82# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh84# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh91# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh93# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh96# ============================================COMMENT
MEDIUMfscan-lab/docker/firewall/firewall.sh98# ============================================COMMENT
MEDIUMtests/integration/integration_test.go41// ── Redis ──────────────────────────────────────────────────────COMMENT
MEDIUMtests/integration/integration_test.go86// ── MySQL ──────────────────────────────────────────────────────COMMENT
MEDIUMtests/integration/integration_test.go110// ── PostgreSQL ─────────────────────────────────────────────────COMMENT
MEDIUMtests/integration/integration_test.go134// ── FTP ────────────────────────────────────────────────────────COMMENT
MEDIUMtests/integration/integration_test.go158// ── SSH ────────────────────────────────────────────────────────COMMENT
MEDIUMtests/integration/integration_test.go182// ── MongoDB ────────────────────────────────────────────────────COMMENT
38 more matches not shown…
Verbosity Indicators9 hits · 15 pts
SeverityFileLineSnippetContext
LOWplugins/services/cassandra.go102 // Step 1: STARTUP (CQL_VERSION=3.0.0)COMMENT
LOWplugins/services/cassandra.go109 // Step 2: 读取响应COMMENT
LOWplugins/services/cassandra.go123 // Step 3: 如果需要认证COMMENT
LOWplugins/services/cassandra.go149 // Step 4: 发送测试查询COMMENT
LOWplugins/services/mongodb.go103 // Step 1: isMaster 获取服务参数COMMENT
LOWplugins/services/mongodb.go115 // Step 2: saslStart SCRAM-SHA-1COMMENT
LOWplugins/services/kafka.go85 // Step 1: ApiVersions 握手 (api_key=18, api_version=0)COMMENT
LOWplugins/services/kafka.go96 // Step 2: SASL/PLAIN 认证 (如果需要)COMMENT
LOWplugins/services/kafka.go137 // Step 3: Metadata 请求验证连接 (api_key=3, api_version=0)COMMENT
Structural Annotation Overuse9 hits · 15 pts
SeverityFileLineSnippetContext
LOWplugins/services/cassandra.go102 // Step 1: STARTUP (CQL_VERSION=3.0.0)COMMENT
LOWplugins/services/cassandra.go109 // Step 2: 读取响应COMMENT
LOWplugins/services/cassandra.go123 // Step 3: 如果需要认证COMMENT
LOWplugins/services/cassandra.go149 // Step 4: 发送测试查询COMMENT
LOWplugins/services/mongodb.go103 // Step 1: isMaster 获取服务参数COMMENT
LOWplugins/services/mongodb.go115 // Step 2: saslStart SCRAM-SHA-1COMMENT
LOWplugins/services/kafka.go85 // Step 1: ApiVersions 握手 (api_key=18, api_version=0)COMMENT
LOWplugins/services/kafka.go96 // Step 2: SASL/PLAIN 认证 (如果需要)COMMENT
LOWplugins/services/kafka.go137 // Step 3: Metadata 请求验证连接 (api_key=3, api_version=0)COMMENT
Over-Commented Block10 hits · 10 pts
SeverityFileLineSnippetContext
LOWcore/adaptive_pool.go21 HealthCongested // 明确拥塞,大幅降速COMMENT
LOWcore/port_scan.go561// 只收集资源耗尽类错误,timeout 是正常的扫描结果(防火墙 drop)不计入失败COMMENT
LOWlibs/grdp/protocol/pdu/data.go321 core.WriteUInt16LE(c.NumberCapabilities, buff)COMMENT
LOWlibs/grdp/protocol/x224/x224.go321 x.Emit("reconnect", PROTOCOL_HYBRID)COMMENT
LOWcommon/config_builder.go381// 保留 BuildConfigFromFlags 的原有实现(从 flag_config.go 移入)COMMENT
LOWcommon/proxy/manager_test.go421 t.Logf("✓ Stats 反映配置信息")COMMENT
LOWcommon/proxy/manager_test.go441// done := make(chan bool)COMMENT
LOWcommon/proxy/manager_test.go461// }COMMENT
LOWcommon/config/constants.go21 // 注意:9100 已移除,该端口为打印机 RAW 端口,发送数据会触发打印 (Issue #517)COMMENT
LOWpkg/fscan/doc.go1// Package fscan exposes fscan as an embeddable scanner library.COMMENT
Cross-Language Confusion (JS/TS)1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHfscan-lab/docker/services/core/mongo/init.js21print('MongoDB initialized with final flag');CODE
Unused Imports3 hits · 3 pts
SeverityFileLineSnippetContext
LOWtools/perftest/plot_results.py23CODE
LOWtools/perftest/plot_results.py24CODE
LOWfscan-lab/test-services/Weblogic/create-domain.py1CODE
Fake / Example Data2 hits · 2 pts
SeverityFileLineSnippetContext
LOWplugins/services/smtp.go122 if err := client.Mail("test@test.com"); err != nil {CODE
LOWwebscan/pocs/nexus-cve-2020-10204.yml11 {"action":"coreui_User","method":"update","data":[{"userId":"anonymous","version":"1","firstName":"Anonymous","lasCODE
Deep Nesting1 hit · 1 pts
SeverityFileLineSnippetContext
LOWtools/perftest/plot_benchmarks.py17CODE