This site will have limited functionality while we undergo maintenance to improve your experience. If an article doesn't solve your issue and you want to ask a question, we have our support community waiting to help you at @FirefoxSupport on Twitter and/r/firefox on Reddit.

Search Support

Avoid support scams. We will never ask you to call or text a phone number or share personal information. Please report suspicious activity using the “Report Abuse” option.

Learn More

How can I block messages with encoded subjects

  • 4 ŋuɖoɖowo
  • 2 masɔmasɔ sia le wosi
  • 19 views
  • Nuɖoɖo mlɔetɔ RealMaguff

more options

A lot of the SPAM I get bypasses my normal rules by encoding the subject in UTF-8 - for example, the Subject "Military Grade Pen" is listed this way in the message source: Subject: =?utf-8?B?TWls0ZZ0YXJ5IEdyYWRlIFBlbiBOb3cgQXZh0ZZsYWJsZSB0byBQdWJs0ZZjIA==?=

And because of this, trying to block "Military Grade" or "?utf-8" in the Subject fails.

Is there any way to block all messages with an encoded Subject header?

A lot of the SPAM I get bypasses my normal rules by encoding the subject in UTF-8 - for example, the Subject "Military Grade Pen" is listed this way in the message source: Subject: =?utf-8?B?TWls0ZZ0YXJ5IEdyYWRlIFBlbiBOb3cgQXZh0ZZsYWJsZSB0byBQdWJs0ZZjIA==?= And because of this, trying to block "Military Grade" or "?utf-8" in the Subject fails. Is there any way to block all messages with an encoded Subject header?

Ŋuɖoɖo si wotia

I get legitimate email using utf-8 in the subject line, so for some of us your simplistic "utf-8 == bad" association just doesn't work.

There are two add-ons, FiltaQuilla or Expression Search that I think will add regular expression tools to your filters, and these can be used to parse the subject line to detect non-ansii characters. I don't have a worked example here, but I have set up a filter just to tag incoming messages in order to assess how common the use of utf-8 in subjects is. My conclusion is that utf-8 is here to stay and I fully expect its use to become more widespread. I've also tried to reassure users that images appearing in the subject line are not carefully crafted malware, but just selected utf-8/unicode characters.

I'd also add in support of the previous comment that IMHO you are wasting your time trying to create filters for this.

Xle ŋuɖoɖo sia le goya me 👍 0

All Replies (4)

more options

Fighting spam with static filters is a battle you can't win. It is therefore recommended to use the Thunderbird built-in junk mail controls. Alternatively make use of your email providers spam filter. http://kb.mozillazine.org/Junk_Mail_Controls

more options

Thunderbird's built-in junk controls are useless in this scenario, and I have SPAM filtering with my provider that catches most of it. The messages I'm trying to block are coming from a different domain/IP address every time (botnet I assume). This junk all has encoded Subjects to get past keyword filters, but all of the other mail I receive regularly has a plain-text Subject header - so my question still stands.

more options

Ɖɔɖɔɖo si wotia

I get legitimate email using utf-8 in the subject line, so for some of us your simplistic "utf-8 == bad" association just doesn't work.

There are two add-ons, FiltaQuilla or Expression Search that I think will add regular expression tools to your filters, and these can be used to parse the subject line to detect non-ansii characters. I don't have a worked example here, but I have set up a filter just to tag incoming messages in order to assess how common the use of utf-8 in subjects is. My conclusion is that utf-8 is here to stay and I fully expect its use to become more widespread. I've also tried to reassure users that images appearing in the subject line are not carefully crafted malware, but just selected utf-8/unicode characters.

I'd also add in support of the previous comment that IMHO you are wasting your time trying to create filters for this.

more options

Zenos thanks - a Regular Expression filter should work for what I need. I know that trying to filter keywords seems futile, but this is a very specific scenario I'm working on where I get the same 5 or 6 subjects practically daily. Being able to filter with RegEx will help.