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Mike Pepe wrote:
> decoder wrote:
>
>> Which OCR plugin are you using there? If it is the original
>> OcrPlugin, then you might try FuzzyOcr instead. The original
>> OcrPlugin was more proof-of-concept, and will cause you lots of
>> headaches with the current image spam...
>
> I did upgrade to FuzzyOCR after I read your message. But, I don't
> think it's working- however other rules seem to be catching these
> stock gifs. Here's the headers from one of them:
>
> Content analysis details:   (10.6 points, 5.0 required)
>
> pts rule name              description ---- ----------------------
> -------------------------------------------------- 1.1
> EXTRA_MPART_TYPE       Header has extraneous Content-type:...type=
> entry 4.2 HELO_DYNAMIC_IPADDR    Relay HELO'd using suspicious
> hostname (IP addr 1) 0.1 FORGED_RCVD_HELO       Received: contains
> a forged HELO 1.1 HTML_IMAGE_ONLY_32     BODY: HTML: images with
> 2800-3200 bytes of words 0.4 HTML_30_40             BODY: Message
> is 30% to 40% HTML 1.0 BAYES_60               BODY: Bayesian spam
> probability is 60 to 80% [score: 0.7765] 0.0 HTML_MESSAGE
> BODY: HTML included in message 0.8 SARE_GIF_ATTACH        FULL:
> Email has a inline gif 2.0 RCVD_IN_SORBS_DUL      RBL: SORBS: sent
> directly from dynamic IP address [71.197.31.248 listed in
> dnsbl.sorbs.net]
>
> I don't see OCR mentioned in there at all. I still don't think it's
>  working.
>
> Spamassassin --lint doesn't indicate anything is wrong. How can I
> test it?
>
> -Mike
>

The download page of FuzzyOcr provides a sample-mails.tar.gz. It
contains some messages which should all get detected.


Chris
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