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Joined 3 years ago
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Cake day: November 2nd, 2022

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  • I am planning to try it out, but for caddy users I came up with a solution that works after being bombarded by AI crawlers for weeks.

    It is a custom caddy CEL expression filter coupled with caddy-ratelimit and caddy-defender.

    Now here’s the fun part, the defender plugin can produce garbage as response so when a matching AI crawler fits it will poison their training dataset.

    Originally I only relied on the rate limiter and noticed that AI bots kept trying whenever the limit was reset. Once I introduced data poisoning they all stopped :)

    git.blob42.xyz {
        @bot <<CEL
            header({'Accept-Language': 'zh-CN'}) || header_regexp('User-Agent', '(?i:(.*bot.*|.*crawler.*|.*meta.*|.*google.*|.*microsoft.*|.*spider.*))')
        CEL
    
    
        abort @bot
        
    
        defender garbage {
    
            ranges aws azurepubliccloud deepseek gcloud githubcopilot openai 47.0.0.0/8
          
        }
    
        rate_limit {
            zone dynamic_botstop {
                match {
                    method GET
                     # to use with defender
                     #header X-RateLimit-Apply true
                     #not header LetMeThrough 1
                }
                key {remote_ip}
                events 1500
                window 30s
                #events 10
                #window 1m
            }
        }
    
        reverse_proxy upstream.server:4242
    
        handle_errors 429 {
            respond "429: Rate limit exceeded."
        }
    
    }
    

    If I am not mistaken the 47.0.0.0/8 ip block is for Alibaba cloud