Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: ESPC Sets Deadline to Require MD5 Hash Encryption
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > ESPC Sets Deadline to Require MD5 Hash Encryption
Uncategorized

ESPC Sets Deadline to Require MD5 Hash Encryption

CariBirkner
CariBirkner
3 Min Read
SHARE

As of September 1, 2009, MD5 hash suppression file encryption will be required for all ESPC members. Stolen suppression files and lingering cases of suppression list abuse have long plagued marketers, who are required by CAN-SPAM to share suppression lists with affiliates and these sometimes end up in the hands of third parties. In the past, these lists have been shared in plain text formats, which has allowed for future mailing and abuse.

MD5 is a one-way encryption tool that has long been used for password encryption to secure login info and protect against corrupted files. It is particularly useful for suppression list management because encrypted files cannot be transmitted back into original email addressess. However, because each address will have a dedicated line of hash, publishers and affiliates can still use the files for compliance when scrubbing send files against suppression lists.

Although MD5 is a needed improvement in the standard for protecting suppression files, it has become somewhat outdated and is vulnerable to decryption and hacking.  According to the ESPC Be…

More Read

You know it when they dance
WSDM 2010: Day 2
Big Data News Bulletin: The Stories You Can’t Miss in Jan/Feb 2015
Calculating the Soft Costs of Hadoop
Government 2.0 Camp 27-28 March 2009 in DC

As of September 1, 2009, MD5 hash suppression file encryption will be required for all ESPC members. Stolen suppression files and lingering cases of suppression list abuse have long plagued marketers, who are required by CAN-SPAM to share suppression lists with affiliates and these sometimes end up in the hands of third parties. In the past, these lists have been shared in plain text formats, which has allowed for future mailing and abuse.

MD5 is a one-way encryption tool that has long been used for password encryption to secure login info and protect against corrupted files. It is particularly useful for suppression list management because encrypted files cannot be transmitted back into original email addressess. However, because each address will have a dedicated line of hash, publishers and affiliates can still use the files for compliance when scrubbing send files against suppression lists.

Although MD5 is a needed improvement in the standard for protecting suppression files, it has become somewhat outdated and is vulnerable to decryption and hacking.  According to the ESPC Best Practice Guideline for ESPs,  newer hashing methods such as SHA-256 provide much greater levels of security and require far more time and resources to hack. A brute force attack is another way to gain information about hashed email addresses. This is where a person gathers a list of email addresses, hashes them, and compares them to the hash of an email list. The hacker would not gain new email addresses, but would be able to find out more info about the email addresses that match their list.

Additional precautions should be taken along with hashing, especially during data transfer in order to secure your lists. For example, storing a list on an FTP site that allows anonymous login could be insufficient security for data transfer (ESPC 2008).

Link to original post

TAGGED:email marketing
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data analytics for better email marketing
Analytics

Email Marketers Use Data Analytics for Optimal Customer Segmentation

12 Min Read
email validation is possible with AI technology
Artificial Intelligence

AI Assists with Reputation Management through Email Validation

9 Min Read

Embracing Email Authentication a Must

3 Min Read
data-driven email marketing tutorial
Marketing

Case Studies Demonstrate Benefits Of Data Driven Email Marketing

11 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?