Hi All, I've been experimenting with ways that I can make DSPAM more accurate using my MTA (Haraka).
Currently - I'm using DNSBL and URIBL results pre-data to inoculate DSPAM with the message data if DSPAM doesn't already think the message is Spam or has a confidence level < 85%. This has been working very well so far - but I noticed that stats reported by dspam_stats were off because I was doing the initial check using --process and then running an inoculate after if necessary. I just modified my code to use --classify instead and I've immediately hit a problem. I'm using virtual users - and if the user doesn't already exist, then --classify fails and dspam logs a "received invalid result (!DSR_ISSPAM && !DSR_ISINNOCENT) -2" to the logs. Is this a bug? If the virtual user doesn't exist - shouldn't this just return an Innocent result? Kind regards, Steve. ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60134071&iu=/4140/ostg.clktrk _______________________________________________ Dspam-user mailing list Dspam-user@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dspam-user
