alexus wrote: > On Tue, Apr 21, 2009 at 4:03 PM, alexus <ale...@gmail.com> wrote: > > > > an example > > > > Received: by simscan 1.4.0 ppid: 97779, pid: 97780, t: 3.8809s > > scanners: regex: 1.4.0 clamav: 0.95/m:50/d:9252 spam: 3.2.5 > > X-Spam-Checker-Version: SpamAssassin 3.2.5 (2008-06-10) on > > mx1.alexus.biz X-Spam-Level: **** X-Spam-Status: No, score=4.9 > > required=5.0 tests=BAYES_99,HTML_MESSAGE, > > MIME_HTML_ONLY,SPF_HELO_PASS autolearn=no version=3.2.5 > > > > it gave BAYES_99, yet it still think it's autolearn=no, and it still > > doesnt think this is SPAM > > this is from another email > > X-Spam-Flag: YES > X-Spam-Checker-Version: SpamAssassin 3.2.5 (2008-06-10) on > mx1.alexus.biz X-Spam-Level: ***** > X-Spam-Status: Yes, score=5.6 required=5.0 > tests=BAYES_99,HTML_MESSAGE, > MIME_HTML_ONLY,SPF_HELO_PASS,SPF_SOFTFAIL autolearn=no version=3.2.5 > X-Spam-Report: > * 3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100% > * [score: 1.0000] > * -0.0 SPF_HELO_PASS SPF: HELO matches SPF record > * 0.6 SPF_SOFTFAIL SPF: sender does not match SPF record (softfail) > * 0.0 HTML_MESSAGE BODY: HTML included in message > * 1.5 MIME_HTML_ONLY BODY: Message only has text/html MIME parts > > how can I put X-Spam-Report into every email? because this was > generated manually via "spamassassin -t email"
Put this in either your local.cf or a user's user_prefs file: add_header all Report _REPORT_ "autolearn=no" has nothing to do with the Bayes score. In fact, the Bayes score and a few other rules are intentionally excluded when determining whether to autolearn an email. In both of these cases, there were not enough rule hits to trigger the autolearning process. -- Bowie
