Safe3-uusec-waf/rules/abnormal-character-encoding-requests.lua
UUSEC Technology e66cca6014 v7.0.0
### Feature Updates

**Interface & Management**

- Redesigned main program and management interface with improved aesthetics and usability, supports UI language switching (English/Chinese)
- Added Rule Collections functionality: Create custom rule templates for batch configuration
- Introduced whitelist rules that terminate further rule matching upon success
- UUSEC WAF Rules API intelligent suggestions during advanced rule editing:ml-citation
- New plugin management supporting hot-reloaded plugins to extend WAF capabilities

**Protocol & Optimization**

- Supports streaming responses for continuous data push (e.g., LLM stream outputs)
- Enables Host header modification during proxying for upstream service access
- Search engine validation: `waf.searchEngineValid(dns,ip,ua)` prevents high-frequency rules from affecting SEO indexing
- Interception log report generation (HTML/PDF exports)
- Automatic rotation of UUSEC WAF error/access logs to prevent performance issues

**Security & Infrastructure**

- Expanded free SSL certificate support: HTTP-01 & DNS-01 verification across 50+ domain providers
- Customizable advanced WAF settings: HTTP2, GZIP, HTTP Caching, SSL protocols, etc
- Cluster configuration: Manage UUSEC WAF nodes and ML servers via web UI
2025-07-02 09:47:41 +08:00

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Lua

--[[
Rule name: Abnormal character encoding requests
Filtering stage: Request phase
Threat level: High
Rule description: Hackers typically use an exception charset in the Content Type header to define character set encoding to bypass WAF protection, such as IBM037, IBM500, cp875, etc
--]]
local rct = waf.reqContentType
local has = waf.contains
local counter = waf.strCounter
local rgx = waf.rgxMatch
if rct then
rct = waf.toLower(rct)
if has(rct, "charset") and (not rgx(rct, "charset\\s*=\\s*(utf\\-8|gbk|gb2312|iso\\-8859\\-1|iso\\-8859\\-15|windows\\-1252)","jo") or counter(rct, "charset") > 1) then
return true, rct, true
end
end
return false