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client9/libinjection

SQL / SQLI tokenizer parser analyzer observed · 2026-08-28

github.com/client9/libinjection · C · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 5167
  • days_rel: n/a
  • days_push: 1064
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1032 stars · 282 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A C library that tokenizes and analyzes input strings to detect SQL injection (SQLi) attacks using fingerprint matching. It has bindings for PHP, Python, and Lua, and is commonly embedded in web application firewalls.

Use cases

  • detect sql injection attacks in user input
  • add sqli detection to a web application firewall
  • scan request parameters for sql injection payloads
  • integrate sql injection detection into a php or python app
  • fingerprint malicious sql queries

When to choose

  • you need fast, lightweight SQLi detection in C/C++ or via bindings
  • you are building a WAF or input filter that must flag SQL injection attempts
  • you want a mature, widely deployed detection library with fingerprint output

When to avoid

  • you need general-purpose SQL parsing or query analysis rather than attack detection
  • you need actively developed features or recent vulnerability updates
  • you need detection for injection types beyond SQL (e.g., XSS, LDAP)

Facets

library · maturity maintenance

parser security nlp security parsers web-development developer-tools c cpp python php lua cross-platform sql-injection-detection sqli tokenizer waf fingerprinting

1 source

Member repositories

RepositoryRoleHealth v2
client9/libinjectionmain32

For agents

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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem