Koogle d*EPiC SWYNme BITLYme EmailMarketingTipps

Articles



law Spam Krokodil-Kunden sind nicht rechtsmissbräuchlich - Kammergericht Urteil 5 U 150/16

Am 05.09.2017 hat das höchste Zivilgericht in Berlin, das Kammergericht, entschieden, dass Abmahnungen und Klagen von Verbrauchern und Unternehmen gegen Spammer durch die Finanzierung des Spam Krokodils nicht rechtsmissbräuchlich werden. Damit hoben die Richter ein knapp ein Jahr altes Urteil des Landgerichts Berlin auf. [...] [more]
spam-krokodil.de    Law, Spam

antispam Keeping your company data safe with new security updates to Gmail

Our detection models integrate with Google Safe Browsing machine learning technologies for finding and flagging phishy and suspicious URLs. These new models combine a variety of techniques such as reputation and similarity analysis on URLs, allowing us to generate new URL click-time warnings for phishing and malware links. As we find new patterns, our models adapt more quickly than manual systems ever could, and get better with time. [...] [more]
blog.google    Spam, Deliverability

antispam French government provides spam lists

It is not always easy to maintain a good, clean bulk emailing list, but legitimate bulk senders do it routinely. Anybody can do it if they learn how and follow best practice. France might be attempting to use such a "list rental" model. Both the examples we encountered were sent from SendinBlue's network. SendinBlue is an established ESP in France. It has the capability to properly manage a list rental service. France and SendinBlue, please take this hint that the list you are providing to your [...] [more]
spamhaus.org    Spam

discussion Why messages sometimes end up in the Junk folder in Outlook.com even when the sender is on your Safe Senders list

In Outlook.com, occasionally we get a complaint from a user saying that a message is in their Junk Email folder even though the message’s sender is on their Safe Senders list. After all, if it’s on the Safe Senders list, shouldn’t the message go to the Inbox?While this can happen with any user, it usually [...] [more]
microsoft.com    Spam, Deliverability

antispam How the Outlook.com Spam Fighters program works

In order for Smartscreen to be both predictive and effective, it has to learn on a corpus of good and bad email. While we can always find sources of spam (through honeypots and user feedback reports), it can be difficult to acquire a corpus of good email. That’s where the Spam Fighters program comes in. The Spam Fighters program asks a random sample of users in Outlook.com if they’d like to volunteer to help fighting spam. These invitations are sent periodically, and they are randomly sampled in [more]
microsoft.com    Intelligence, Spam, Deliverability

antispam CSA Summit 2017 Recap

After giving an overview of how the CSA has developed over recent years (e.g. from 9 certification criteria in 2004 to 9 pages outlining the certification criteria in 2017), Ivanov formally handed over to the new Director of the Certified Senders Alliance, Julia Janßen-Holldiek. In a touching scene, Julia thanked Ivo for his work and leadership over the last years and presented him with a compass to symbolize his new role in the background guiding the overall direction of the CSA. The CSA team, the [...] [more]
certified-senders.eu    Event, Spam, Deliverability

antispam DKIM Validation: An Email Authentication Best Practice

DKIM is referred to as “content-based” authentication, rather than “path-based”, because whether or not a message passes DKIM validation is based solely on whether or not the content has changed between the time it was signed and the time validation was attempted. [...] [more]
sparkpost.com    Spam, Deliverability

discussion How machine learning in G Suite makes people more productive

One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99%. Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use Tensor Flow and other machine learning [...] [more]
blog.google    Intelligence, Spam

antispam Email: How To Get Started With DMARC

So you’re looking to implement a DMARC policy for your company and are now scratching your head thinking, “What did I get [...] [more]
dyn.com    Spam, Deliverability

discussion Automatische E-Mail-Klicks von der Firewall?

Als wir Mitte letzten Jahres unsere Studie zum E-Mail-Marketing von 6.000 US eCommerce-Firmen per E-Mail-Kampagne bei einigen Tausend Digitalmarketing-Fachleuten bewarben, entdeckten wir bei genauer Prüfung der Klick-Response Erstaunliches: Knapp die Hälfte der Klicks wurde binnen Sekunden nach dem technischen Versand getätigt. Und diese Klicks traten häufig „geklumpt“ auf: Sie konzentrierten sich auf eine kleine Anzahl von Firmen. In diesen hatten scheinbar alle Empfänger Klickaktivität gezeigt [...] [more]
publicare.de    Clickrate, Spam

antispam Spammergate: The Fall of an Empire

Today we release details on the innerworkings of a massive, illegal spam operation. The situation presents a tangible threat to online privacy and security as it involves a database of 1.4 billion email accounts combined with real names, user IP addresses, and often physical address. Chances are that you, or at least someone you know, is affected. [...] [more]
mackeeper.com    Spam

antispam Schützen Sie Ihren Brand mit DMARC vor Phishing E-Mails

Im folgenden Artikel möchten wir erläutern, warum Marketeers DMARC implementieren sollten, um sich vor Phishing zu schützen. Aussagen und Interviews relevanter internationaler ISPs untermauern unseren Standpunkt. Für diejenigen, die einen technischen Gesamtüberblick bekommen möchten, haben wir DMARC auch im Rahmen der technischen Zustellung betrachtet. [...] [more]
email-marketing-forum.de    Spam

antispam Understanding differences between corporate and consumer Gmail threats

Every minute, we prevent over 10 million unsafe or unwanted emails from reaching Gmail users and threatening them with malicious attachments that infect a user’s machine if opened, phishing messages asking for banking or account details, and omnipresent spam. A cornerstone of our defense is understanding the pulse of the email threat landscape. This awareness helps us to anticipate and react faster to emerging attacks. Today at RSA, we are sharing key insights about the diversity of threats to [...] [more]
googleblog.com    Spam, Deliverability

stats WEB.DE und GMX registrieren 10 Prozent mehr Spam-Mails

2016 haben die beiden größten deutschen E-Mail-Anbieter WEB.DE und GMX jeden Tag insgesamt über 117 Millionen Spam-Mails identifiziert. Dieser Wert lag im Vorjahr noch bei rund 105 Millionen. Das Gesamtjahresvolumen der potenziell gefährlichen E-Mails stieg damit von rund 38 Milliarden auf 42 Milliarden unerwünschte Nachrichten an; ein Plus von 10,4 Prozent. Das geht aus der aktuellen Spam-Statistik hervor, die die beiden E-Mail-Anbieter zum Safer Internet Day veröffentlichen. [...] [more]
web.de    Spam, Study

antispam Spamhaus Botnet Summary 2016

2016 was a busy year for existing and emerging cyber threats. In the past year, Spamhaus researchers issued listings for over 7,000 botnet Command & Control ("C&C") servers on more than 1,100 different networks. These C&C servers enabled and controlled online crime such as credential theft, e-banking fraud, spam and DDoS attacks. They were also used for the retrieval of stolen data. 2016 will also go down in history as the first year that security issues related to the "Internet of Things" (IoT) not [...] [more]
spamhaus.org    Spam, Study
Page 1 | older