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code sqli

SQL injection attempts

Syndu annotates all incoming traffic and extracts behavioral signals that help explain intent. This page defines the sqli signal — what it means, how to interpret it, and how it will later connect to live evidence across IPs, subnets, organizations, ISPs, countries, and cities.

Signal gist Input patterns resemble attempts to manipulate SQL queries via application parameters.
Read the definition → View live signal sections →

Definition

Canonical reference for sqli behavior.
Catalog code
sqli
Display name
SQL injection attempts
How to read this signal
This annotator represents a behavioral pattern, not a claim of identity. It’s designed to help you understand why certain traffic looks suspicious, automated, probing, or exploit-oriented — and to support consistent reporting across the Syndu system.
Explanation
Flags patterns associated with SQL injection probing, including query-logic fragments and suspicious operator/keyword structures in parameters. This annotator supports defensive reporting and helps explain likely exploit probing. Avoid presenting raw payloads verbatim in public-facing UI; prefer summarizing the affected endpoints and frequency over time.

Live sections

These panels will be wired to real metrics, enrichment context, and drill-down links.
Signal footprint over time
Rolling volume, bursts, first/last seen, and time-window slices (e.g. last hour/day/week). This will help separate chronic background noise from active campaigns.
Coming next: time series + burst markers
Top affected entities
Links to the entities where sqli is most present: IPs, subnets, organizations/ASNs, ISPs, and geographies — with “why” context.
Coming next: entity leaderboards + drill-down
Enrichment context
How enrichment affects interpretation: known crawlers, monitored ranges, trusted scanners, or policy exceptions. This is where “benign but noisy” gets separated from “unknown and risky.”
Coming next: enrichment flags + allowlist context