ixhashdnsbl CTYME_IXHASH ixhash.junkemailfilter.com.
bodyCTYME_IXHASH eval:check_ixhash('CTYME_IXHASH')
describeCTYME_IXHASH iXhash found @ ixhash.junkemailfilter.com
tflags CTYME_IXHASH net
score CTYME_IXHASH 5
Let me know if it's u
On 12/07/15 00:10, Charles Sprickman wrote:
On Dec 6, 2015, at 11:41 PM, Marc Perkel wrote:
ixhashdnsbl CTYME_IXHASH ixhash.junkemailfilter.com.
bodyCTYME_IXHASH eval:check_ixhash('CTYME_IXHASH')
describeCTYME_IXHASH iXhash found @ ixhash.junkemailfilter.
I'd like to get a sense from everyone how well it works. Is it hitting
spam other tests aren't hitting? Are there false positives?
On 12/08/15 05:57, Reindl Harald wrote:
Am 08.12.2015 um 14:37 schrieb Alex:
On Sun, Dec 6, 2015 at 11:41 PM, Marc Perkel
wrote:
ixhashdnsbl CT
255
grep RAZOR /var/log/spamd/current | wc
1381932 73479
grep RCVD_IN_BL_SPAMCOP_NET /var/log/spamd/current | wc
1962744 97495
Almost all CTYME hits had a corresponding RAZOR hit.
Regards,
Rick
On 2015-12-08 3:32 PM, Marc Perkel wrote:
I'd like to get a sense from
confidence
in the spam flagging.
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. 58% overlap is more
confirmation that a spam is a spam. But that means 42% is new spam not
caught by other iXhash. So - not phenomenal - but not bad.
Thanks for the feedback.
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X and Y and Z then that's
spam even though X,Y,Z might be in ham when not combined.
Does bayes do that or is there anything that does?
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On 12/10/15 18:31, Benny Pedersen wrote:
Marc Perkel skrev den 2015-12-10 22:54:
I've had bayes disabled in SA because it seems to not be able to stay
working in a high volume situation. The MySQL server can't seem to
keep up with it even on very fast computers.
i got a palm Zire t
On 12/11/15 06:58, RW wrote:
On Thu, 10 Dec 2015 13:54:05 -0800
Marc Perkel wrote:
Bayes breaks the message down into some sort of tokens and then does
statistics on those tokens as to tokens found in spam vs. tokens
found in ham.
But what about combinations of tokens? I'm thinking tha
Trying to set up Bayes using redis.
I created a server for redis and have it running.
Can't finds the docs on how to create the databases initially and such.
And any tips appreciated.
Thanks in advance.
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On 12/11/15 13:07, Axb wrote:
On 12/11/2015 09:57 PM, Marc Perkel wrote:
Trying to set up Bayes using redis.
I created a server for redis and have it running.
Can't finds the docs on how to create the databases initially and such.
And any tips appreciated.
Thanks in advance.
Did you
Anyone using this rule timing plugin? Having trouble getting it to work.
Just wondering if it's worth it?
Mail::SpamAssassin::Plugin::RuleTimingRedis
So far so good. Thanks for your help. It looks like it's actually
working. Have about 10k spam/ham tokens so far.
On 12/11/15 14:59, Axb wrote:
On 12/11/2015 11:55 PM, Marc Perkel wrote:
So far so good. Thanks for your help. It looks like it's actually
working. Have about 10k spam/ham tokens so far.
sa-learn --dump magic should show if it's "alive"
For safety, don't take your
On 12/12/15 02:38, Axb wrote:
On 12/12/2015 12:28 AM, Marc Perkel wrote:
redis_version:2.4.10
You're using an ancient Redis version...
SA makes use of LUA support which was added in 2.6.0
You definitely need to upgrde to 3.x and you'll probably need to nuke
your DB dump
On 12/12/15 08:47, Reindl Harald wrote:
Am 12.12.2015 um 17:44 schrieb Marc Perkel:
On 12/12/15 02:38, Axb wrote:
On 12/12/2015 12:28 AM, Marc Perkel wrote:
redis_version:2.4.10
You're using an ancient Redis version...
SA makes use of LUA support which was added in 2.6.0
On 12/12/15 08:47, Reindl Harald wrote:
Am 12.12.2015 um 17:44 schrieb Marc Perkel:
On 12/12/15 02:38, Axb wrote:
On 12/12/2015 12:28 AM, Marc Perkel wrote:
redis_version:2.4.10
You're using an ancient Redis version...
SA makes use of LUA support which was added in 2.6.0
sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 69569 0 non-token data: nspam
0.000 0 88747 0 non-token data: nham
0.000 0 0 0 non-token data: ntokens
0.000
On 12/12/15 02:38, Axb wrote:
On 12/12/2015 12:28 AM, Marc Perkel wrote:
redis_version:2.4.10
You're using an ancient Redis version...
SA makes use of LUA support which was added in 2.6.0
You definitely need to upgrde to 3.x and you'll probably need to nuke
your DB dump
On 12/12/15 09:36, Martin Gregorie wrote:
On Sat, 2015-12-12 at 08:49 -0800, Marc Perkel wrote:
I can put redis in thew yum exception list
Or, you can install your self-built version in /usr/local/bin and
adjust $PATH so it preceeds /usr and /usr/bin. This will protect your
version from yum
On 12/12/15 15:28, Benny Pedersen wrote:
On December 12, 2015 5:49:27 PM Marc Perkel
wrote:
I can put redis in thew yum exception list
so much precompiled problems, why not upgrade to centos 7 ?
Because I'd have to upgrade 50 servers for consistency and if I do that
I'll pr
And if you have - is it any good? Or am I wasting my time with it?
Thanks in advance. I know it's off topic.
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mand to do that. I just can't find it.
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On 12/14/15 22:49, Benny Pedersen wrote:
On December 15, 2015 6:18:06 AM Marc Perkel
wrote:
I bet there's a command to do that. I just can't find it.
perldoc Mail::SpamAssassin:::Config
see *networks
I figured it out. Thanks.
internal_networks
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This Bayes Redis works GREAT. For years I've been trying to get bayes to
work and now finally IT WORKS
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media?
Wrolf
wr...@wrolf.net <mailto:wr...@wrolf.net>
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direction?
Thanks in advance.
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o want to release this to you all soon because you'll
probably make it better than I have.
I have a little more info on Dvorak's blog.
http://www.dvorak.org/blog/2016/01/12/i-invented-a-new-way-to-filter-spam-thinking-about-a-patent/
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n.pdf
There are quite a few research papers on this.
Anyway, I can't test out your method, but I'll sure keep an eye on
how things evolve. :)
Regards,
Dianne.
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Actually the reason I filed the provisional patent is to start talking
about it. As long as I file for a real patent in the next year I'm good.
On 01/14/16 03:49, Dianne Skoll wrote:
On Wed, 13 Jan 2016 18:01:09 -0800
Marc Perkel wrote:
When I reveal it I can explain the basic conce
OK - following up on this. I have my provisional patent filed. I'm still
doing development to improve it and working on a licensing contract. But
the license will be based on the Creative Commons patent with some
restrictions added. Basically I want to get a license fee from the big
guys and my
ts of the test message is intersected with the
spam and ham corpi creating sub sets of matches. Then you do a set
diff both ways (ham - spam) (spam - ham) and whichever side is bigger
wins. Generally it will match on only one side or very predominately
on one side.” — Marc Perkel
You are still look
On 01/20/16 10:36, John Hardin wrote:
On Wed, 20 Jan 2016, Marc Perkel wrote: .
So it still needs to be trained, at least initially, with a
manually-vetted corpus. If not, how do you propose to do the initial
classification of messages for training?
Do you envision it being self-training
On 01/20/16 10:44, Antony Stone wrote:
On Wednesday 20 January 2016 at 17:52:05, Marc Perkel wrote:
Suppose I get an email with the subject line "Let's get some lunch". I
know it's a good email because spammers never say "Let's go to lunch".
In fact there
atent/patent3.pdf
http://www.junkemailfilter.com/patent/patent4.pdf
http://www.junkemailfilter.com/patent/patent5.pdf
This will be my licensing template:
https://wiki.creativecommons.org/wiki/Model_Patent_License
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On 01/20/16 11:25, John Hardin wrote:
On Wed, 20 Jan 2016, Marc Perkel wrote:
On 01/20/16 10:44, Antony Stone wrote:
How do you identify "the spammiest parts" of an email?
The Subject line - the first few words of the email. the header
structure, behavior. File extensions o
On 01/20/16 11:32, Reindl Harald wrote:
Am 20.01.2016 um 20:27 schrieb Marc Perkel:
On 01/20/16 11:25, John Hardin wrote:
On Wed, 20 Jan 2016, Marc Perkel wrote:
On 01/20/16 10:44, Antony Stone wrote:
How do you identify "the spammiest parts" of an email?
The Subject line -
Let me give you an example. Here's 2 subject lines. Easy to guess which
one is spam.
"Meet horny Russian Brides online!"
"I read an article about Russian brides in a magazine."
Bayes or spam assassin would look at "Russian Brides" and 499 out of 500
times it's spam. Therefore the nonspam versi
On 01/20/16 11:45, Axb wrote:
On 01/20/2016 08:24 PM, Marc Perkel wrote:
Here's the details of how the filtering system is structured. This is
what I filed:
http://www.junkemailfilter.com/patent/patent.pdf
Drawings with it.
http://www.junkemailfilter.com/patent/patent1.pdf
On 01/20/16 11:50, Reindl Harald wrote:
Am 20.01.2016 um 20:46 schrieb Marc Perkel:
Let me give you an example. Here's 2 subject lines. Easy to guess which
one is spam.
"Meet horny Russian Brides online!"
"I read an article about Russian brides in a magazine."
Bay
racking 8 attributes now.
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On 01/20/16 12:05, RW wrote:
On 01/20/16 10:26, Shawn Bakhtiar wrote:
Sorry.. how is this different than Naive Bayes filtering??
On Wed, 20 Jan 2016 10:52:58 -0800
Marc Perkel wrote:
Yes - you missed something. It is about intersecting one corpi and
NOT intersecting the other.
This is
On 01/20/16 12:14, Reindl Harald wrote:
Am 20.01.2016 um 21:11 schrieb Marc Perkel:
On 01/20/16 12:05, RW wrote:
On 01/20/16 10:26, Shawn Bakhtiar wrote:
Sorry.. how is this different than Naive Bayes filtering??
On Wed, 20 Jan 2016 10:52:58 -0800
Marc Perkel wrote:
Yes - you missed
Here's another way to use my evolution filtering idea with SA.
Get rid of all the rule scores and just make a list of the rule names.
From the rule names generate all combinations of those rule names up to
4 rule names in a fingerprint and learn those fingerprints as either ham
or spam. sort o
On 01/20/16 14:28, John Hardin wrote:
On Wed, 20 Jan 2016, Marc Perkel wrote:
Here's another way to use my evolution filtering idea with SA.
Get rid of all the rule scores and just make a list of the rule
names. From the rule names generate all combinations of those rule
names up to 4
It could be challenging if someone impersonated a bank and they did it
right. I'm looking at more aspects than just the content of the message
but that's an area where there is some possible weakness. There are
other tricks to address the specifically. And I am looking at behavior
and headers a
ed in the subject line of
SPAM and never seen in the subject line of HAM
http://www.junkemailfilter.com/data/subject-spam.txt
Hope you understand it now. Not Bayesian
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Normally SA creates a header that has a list of the names of rules that
matched. It skips the listing of hidden rules that start with __ .
Is there a command where I can easily tell SA to include the hidden
rules in the report in the headers so I can see all of it?
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On 02/02/16 17:55, Marc Perkel wrote:
Normally SA creates a header that has a list of the names of rules
that matched. It skips the listing of hidden rules that start with __ .
Is there a command where I can easily tell SA to include the hidden
rules in the report in the headers so I can see
Never mind
I found that if I change __ to T_ that it does what I want.
On 02/02/16 18:05, Marc Perkel wrote:
On 02/02/16 17:55, Marc Perkel wrote:
Normally SA creates a header that has a list of the names of rules
that matched. It skips the listing of hidden rules that start with
es: ran header rule __KAM_JURY3
==> got hit: "negative match"
Mar 11 21:51:44.205 [5074] dbg: rules: ran header rule __HAS_FROM
======> got hit: ""
(Yes, Marc, you probably already know this, this is for the other
people who might be following this thread ;)
On Tue
the quick easy
solution.
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y 0
ERROR: the Bayes learn function returned an error, please re-run with
-D for more information at /usr/bin/sa-learn line 498.
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For what it's worth - just used Redis. Redis is the only thing that's
worked reliably for me.
On 02/13/16 00:42, Reindl Harald wrote:
Am 13.02.2016 um 02:56 schrieb Marc Perkel:
For what it's worth - just used Redis. Redis is the only thing that's
worked reliably for me
you can't use Redis when it comes to different servers in different
networks for different clie
On 02/13/16 07:25, Reindl Harald wrote:
Am 13.02.2016 um 15:59 schrieb Marc Perkel:
On 02/13/16 00:42, Reindl Harald wrote:
Am 13.02.2016 um 02:56 schrieb Marc Perkel:
For what it's worth - just used Redis. Redis is the only thing that's
worked reliably for me
you can't
expire routines.
bayes_token_ttl 3d
bayes_seen_ttl 1d
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On 03/02/16 08:02, Axb wrote:
On 03/02/2016 04:52 PM, Marc Perkel wrote:
My Redis bayes keeps growing. It acts like it's not expiring like it
should. Do I need to do something to force expire? Also - anything ekse
I should set?
Here's my settings.
bayes_sql_dsn server=loca
A customer of mine inquired about executable viruses inside of PDF
files. Is that so? And if it is - is there any way of detecting
executables inside of PDF?
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r
Network/email Administrator, CBJ MIS Dept.
155 South Seward Street
Juneau, Alaska 99801
Phone: (907) 586-0242, Fax: (907) 586-4588 Registered Linux User No: 307357
-Original Message-----
From: Marc Perkel [mailto:supp...@junkemailfilter.com]
Sent: Thursday, March 03, 2016 11:26 AM
To: users@spamassa
On 03/03/16 13:02, David B Funk wrote:
On Thu, 3 Mar 2016, Marc Perkel wrote:
A customer of mine inquired about executable viruses inside of PDF
files. Is that so? And if it is - is there any way of detecting
executables inside of PDF?
I don't know that PDFs can contain classical
On 03/03/16 13:15, Dianne Skoll wrote:
On Thu, 3 Mar 2016 13:03:44 -0800
Marc Perkel wrote:
Thanks for the response. I'm in the spam filtering business and I'm
wondering what I can use (from the command line?) to detect if a PDF
has any kind of script attached that would be execut
On 03/03/16 13:27, John Hardin wrote:
On Thu, 3 Mar 2016, Dianne Skoll wrote:
On Thu, 3 Mar 2016 13:03:44 -0800
Marc Perkel wrote:
Thanks for the response. I'm in the spam filtering business and I'm
wondering what I can use (from the command line?) to detect if a PDF
has a
Just wondering if anyone is using ASN information and is so - what are
you doing?
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KIM_SIGNED DKIM_VALID_AU HTML_IMAGE_RATIO_02 MAILTO_LINK
10028 DKIM_VALID DKIM_VALID_AU HTML_IMAGE_RATIO_02 MAILTO_LINK
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On 03/09/16 06:45, RW wrote:
On Tue, 8 Mar 2016 22:25:09 -0800
Marc Perkel wrote:
This is the for what it's worth department.
I've generated the following rules combination lists.
The ham list are rule combinations sorted by the number of ham hits
that have 0 spam hits.
The spa
On 03/09/16 07:33, Dave Funk wrote:
On Tue, 8 Mar 2016, Marc Perkel wrote:
This is the for what it's worth department.
I've generated the following rules combination lists.
The ham list are rule combinations sorted by the number of ham hits
that have 0 spam hits.
The spam lis
Is there any address that I can forward gmail spam to google for reporting?
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to SA.
Rather that just scan for regex strings it's useful to have a way to
tell what things the message is talking about and reduce those to a
single token that represents a concept. Then the concepts can be
combined to produce rules or fed into Bayes for automatic scoring.
--
Marc Pe
nfirmed to me that ixhash.junkemailfilter.com
is no more in use.
Ciao
Yeah - I had problems keeping it stable. But - I'd still like to
contribute. If someone wants to help me get it going again or wants a
spam feed from me I'll set it up.
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complish.
Facing death definitely sharpens the mind so I'm going to take advantage
of that.
I suppose I'll wrap this up here as I can ramble on forever. And forever
isn't as quite long as it used to be.
Marc Perkel
/root
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myself believe I was in
any danger of dying.
Of course, not all who fight, survive. But I will say with absolute
conviction that everyone I ever met who had a serious cancer and had
that "attitude of acceptance", later died. You are a fighter or you
wouldn't even be here. No
ify good
email as good and have almost no false positives. Then the output with
strong scores are fed back into the learner where it learns how people
who send ham speak and people who send spam speak. And it's very very
effective. and I'm just giving it away.
Thanks fo
see exactly
what is it doing, that you believe is so different than what is out there.
Again, I pray and hope the best for you,
Shawn
On Aug 16, 2016, at 6:45 AM, Marc Perkel <mailto:supp...@junkemailfilter.com>> wrote:
Thanks for the encouragement Ted. Unfortunately I know w
On 08/17/16 03:43, Matus UHLAR - fantomas wrote:
On 16.08.16 20:06, Marc Perkel wrote:
What I'm doing is looking for fingerprints in email that intersect
HAM and not in SPAM - which would be a HAM result.
If it matches SPAM and does NOT match HAM - then it's SPAM.
The magic is
On 08/17/16 03:51, Antony Stone wrote:
On Wednesday 17 August 2016 at 05:06:50, Marc Perkel wrote:
What I'm doing is looking for fingerprints in email that intersect HAM
and not in SPAM - which would be a HAM result.
If it matches SPAM and does NOT match HAM - then it's SPAM.
Th
minus card(Test_message intersect
Ham diff Spam)
On 08/17/16 09:16, Shawn Bakhtiar wrote:
On Aug 17, 2016, at 3:43 AM, Matus UHLAR - fantomas
mailto:uh...@fantomas.sk>> wrote:
On 16.08.16 20:06, Marc Perkel wrote:
What I'm doing is looking for fingerprints in email that intersect
hink about spam and ham detection.
On 08/16/16 12:57, Shawn Bakhtiar wrote:
/
/
/By they way, you can’t match an infinite set (well theoretically but
not actually). /
/https://en.wikipedia.org/wiki/Intersection_(set_theory)/
<https://en.wikipedia.org/wiki/Intersection_%28set_theory%29>
I'm confused by the confusion here.
Set A - a finite set - has some members,
Set B - and infinite set - is everything that is NOT in Set A
So you match a test item to Set A and if it matches it's a member of A.
If it doesn't match Set A it's a member of B.
How is this not really simple?
On 08/22/16 06:55, Antony Stone wrote:
On Monday 22 August 2016 at 15:46:41, Dianne Skoll wrote:
On Mon, 22 Aug 2016 06:04:49 -0700
Marc Perkel wrote:
Set A - a finite set - has some members,
Set B - an infinite set - is everything that is NOT in Set A
Set B is a very special case of an
On 08/22/16 07:28, Dianne Skoll wrote:
On Mon, 22 Aug 2016 07:16:41 -0700
Marc Perkel wrote:
Anthony, Yes - I don't store Set B. I store Set A. B is defined by
what's NOT in A. So I test A and if it's not matched it's set B. Set
B is just a negative match on A.
Let m
OK - Trying to make the really simple. Just talking about concept now.
Let's say I get an email where the subject is "I have aednocarsonoma of
the lung".
Right off you know it's ham because spammers never use the word
"aednocarsonoma" and normal people do. Spammer also never use:
"of the lu
On 08/22/16 07:37, Antony Stone wrote:
On Monday 22 August 2016 at 16:34:09, Marc Perkel wrote:
OK - Trying to make the really simple. Just talking about concept now.
Let's say I get an email where the subject is "I have aednocarsonoma of
the lung".
Right off you know i
On 08/22/16 07:40, Antony Stone wrote:
On Monday 22 August 2016 at 16:34:00, Marc Perkel wrote:
On 08/22/16 07:28, Dianne Skoll wrote:
What percentage of emails using your algorithm are actually
decidable?
Almost 100% if you look at a wide variety of tokens from multiple
attributes
On 08/22/16 07:45, Dianne Skoll wrote:
On Mon, 22 Aug 2016 07:34:00 -0700
Marc Perkel wrote:
So. What percentage of emails using your algorithm are actually
decidable?
Almost 100% if you look at a wide variety of tokens from multiple
attributes.
I can't believe that, or I'
On 08/22/16 08:58, RW wrote:
On Mon, 22 Aug 2016 07:34:00 -0700
Marc Perkel wrote:
On 08/22/16 07:28, Dianne Skoll wrote:
The other two possibilities (no tokens in either or some tokens in
both) are undecidable.
Exactly!
In the past you've said that when there are token in bot
On 08/22/16 09:06, Dianne Skoll wrote:
On Mon, 22 Aug 2016 09:03:38 -0700
Marc Perkel wrote:
The ones that are the same are of no interest. Only where it matches
one side and not the other.
But... but... that's exactly like Bayes if you throw out tokens whose
observed probability is
like it to listen on localhost/53 in place of bind and I would
think I would need the root zones in there somewhere, but there
doesn't appear to be many examples of doing this out there to
reference.
Is it a full-fledged nameserver, suitable enough for MX, A, TXT,
queries, etc for this purpos
utcomes."
Now I'm off to learn more of the big medical words to prepare for round
2. How hard can it be?
So - just wanted to share my possible good news and hopefully I will be
around to be at 2 more Pioneer Awards in the future. That's my new
working estimate.
Marc Perkel
/ro
his but I think I'm onto something.
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On 03/06/17 04:19, Matus UHLAR - fantomas wrote:
On 05.03.17 10:38, Marc Perkel wrote:
Well, new to me. Maybe others have thought of this.
Many domains send nothing but good email and if you whitelist them
based on FCRDNS all is good. Been doing that.
But ...
Many domains send nothing
- or is interested in me producing
such a list?
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http://www.junkemailfilter.com
Junk Email Filter dot com
415-992-3400
On 03/06/17 15:22, David Jones wrote:
From: Marc Perkel
Sent: Monday, March 6, 2017 11:05 AM
To: users@spamassassin.apache.org
Subject: Re: New whitelisting trick using from and spf
do you mean the header From: address?
because anyone doing SPF does spf checks does what you describe on the
Might be slightly off topic but I've been running into more delivery
problems with outgoing email because I don't use DMARC. I don't know a
lot about it but is there some simple way I can get around this? Kind of
a pain in the rear.
--
Marc Perkel - Sales/Support
supp...@junk
On 05/02/17 03:54, RW wrote:
On Mon, 1 May 2017 19:30:01 -0700
Marc Perkel wrote:
Might be slightly off topic but I've been running into more delivery
problems with outgoing email because I don't use DMARC.
How do you know it's because you don't use DMARC.
T
On 05/02/17 07:14, Rob McEwen wrote:
On 5/1/2017 10:30 PM, Marc Perkel wrote:
Might be slightly off topic but I've been running into more delivery
problems with outgoing email because I don't use DMARC. I don't know a
lot about it but is there some simple way I can get around
wrap my head around the idea that I might
not die soon. And also wondering if I missed something and I just kicked
the can down the road. But I'm 11 months into a cancer where median
survival is 8 months and I'm still climbing mountains 3 months past my
sell by date. S
s, if you
nailed them to a wall, they would admit this kind of thing exists,
and I daresay that there's a hell of a lot of drug researchers out
there trying to figure out what drug they can create that will
"switch on" the fighter personality...
Ted
On 7/4/2017 8:45 AM, Marc Perkel wrot
onfirming good email
as good. Obviously - using the header and then the whole message will be
more accurate.
I'm using new techniques no one else is using.
So - any interest?
--
Marc Perkel - Sales/Support
supp...@junkemailfilter.com
http://www.junkemailfilter.com
Junk Email Filter dot com
415-992-3400
Probably both. Not sure. Just trying to see if it's feasible.
On 09/22/17 09:12, Kevin A. McGrail wrote:
Are you discussing a free or a commercial service?
Regards,
KAM
On September 22, 2017 11:40:50 AM EDT, Marc Perkel
wrote:
This is something I'm thinking about doing - p
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