Posted on

Spamassassin stats

54.46% of all emails received on akrin so far got flagged as spam by the excellent Spamassassin. This is actually not too bad compared to high profile mail service providers.

1 email that takes the cake is with a spam score of 42.2 (anything above 4 is not relayed):

Return-Path: <comicalbp@sosmoteurs.com>
Received: from 201-93-229-84.dsl.telesp.net.br (201-93-229-84.dsl.telesp.net.br [201.93.229.84])
From: "Chase bank" <mailserver.id3373332193ib@chase.com>
To: <XXXXXX@akrin.com>
Subject: urgent security notification for client!
X-Spam-Level: ******************************************
X-Spam-Status: Yes, score=42.2 required=5.0

Content analysis details:

pts rule name              description
---- ---------------------- --------------------------------------------------
2.0 RCVD_IN_BL_SPAMCOP_NET RBL: Received via a relay in bl.spamcop.net [Blocked - see <http://www.spamcop.net/bl.shtml?201.93.229.84>]
3.0 RCVD_IN_XBL            RBL: Received via a relay in Spamhaus XBL [201.93.229.84 listed in zen.spamhaus.org]
0.9 RCVD_IN_PBL            RBL: Received via a relay in Spamhaus PBL
0.6 RCVD_IN_SORBS_WEB      RBL: SORBS: sender is a abuseable web server [201.93.229.84 listed in dnsbl.sorbs.net]
1.8 URIBL_PH_SURBL         Contains an URL listed in the PH SURBL blocklist [URIs: nilvert.com]
1.9 URIBL_AB_SURBL         Contains an URL listed in the AB SURBL blocklist [URIs: nilvert.com]
1.5 URIBL_WS_SURBL         Contains an URL listed in the WS SURBL blocklist [URIs: nilvert.com]
1.5 URIBL_JP_SURBL         Contains an URL listed in the JP SURBL blocklist [URIs: nilvert.com]
2.0 URIBL_BLACK            Contains an URL listed in the URIBL blacklist [URIs: nilvert.com]
3.5 BAYES_99               BODY: Bayesian spam probability is 99 to 100% [score: 1.0000]
4.3 HELO_DYNAMIC_HCC       Relay HELO'd using suspicious hostname (HCC)
4.4 HELO_DYNAMIC_IPADDR2   Relay HELO'd using suspicious hostname (IP addr 2)
0.0 FH_HELO_EQ_D_D_D_D     Helo is d-d-d-d
1.4 FROM_LOCAL_HEX         From: localpart has long hexadecimal sequence
1.9 TVD_RCVD_IP            TVD_RCVD_IP
2.8 TVD_PH_SUBJ_URGENT     TVD_PH_SUBJ_URGENT
0.7 SPF_NEUTRAL            SPF: sender does not match SPF record (neutral)
2.3 SPOOF_COM2COM          URI: URI contains ".com" in middle and end
1.6 HTML_IMAGE_ONLY_24     BODY: HTML: images with 2000-2400 bytes of words
0.0 HTML_MESSAGE           BODY: HTML included in message
1.4 MIME_QP_LONG_LINE      RAW: Quoted-printable line longer than 76 chars
0.1 RDNS_DYNAMIC           Delivered to trusted network by host with dynamic-looking rDNS
2.8 DOS_OE_TO_MX           Delivered direct to MX with OE headers
Posted on

Chicken cam

As part of my CCTV installation at home, a cam is placed in the chicken coop. This has very little direct purpose although it is fun to watch chicken behaviors with no humans around. And I guess it is nice to check if we have eggs or if everything is all right.

Really, this is an experiment towards what our future farm will be like. We’d like for people to be able to watch how their food is grown. Maybe even interact remotely with the animals.

It’s a little slow due to my 3Mbps connection and the proxying but have fun with it:

The chicken cam has been disabled as we get ready to move to a new state.

A year a and half after our big jump, it has been re-enabled 🙂

Posted on

Markov chains based random text generation

We’ve already seen how to use Markov chains to generate random words that are based on the essence of a previously analyzed corpus. Well the exact same algorithm can be applied to text. The base entities become words instead of letters. I make punctuation be part of the entities, this way, sentence flow becomes part of the extracted statistical essence.

Feel free to send me ideas of cool corpora to analyze.

You can play with it here: