Threat Detect | Spam Defense Augmentation and Quality Assurance

Target the Threats Your Existing Systems are Missing

Threat actors are constantly changing their tactics, techniques, and procedures (TTPs) to evade blocking solutions and reach more consumers. This ever-evolving landscape means there are inherent gaps in any spam filtering system, making it critical to examine not just what a blocking solution is catching, but also what it is missing. Threat Detect is a threat intelligence platform and blocking / filtering system that utilizes data from disparate sources and engages multiple products in our suite to form a second line of defense to fight threats that slip through the cracks.

BLOCKING FILTER AUGMENTATION

Spam blocking vendors are bound by their technologies and threat actors are constantly trying to circumvent those algorithms. Our highly specialized machine learning, enhanced by an in-house team of threat hunters, allows us to target malicious content quickly and adapt to changes in attacks as they morph to bolster spam filtering vendors' readiness. We take a cybersecurity-based approach to spam mitigation, focusing on neutralizing the threats with the highest potential for consumer harm first.

BLOCKING FILTER FEEDBACK LOOP

We package our intelligence so that it easily integrates into spam filtering models, which results in improved blocking. Our intelligence is fed by our own technology and analysis of spam escalated by consumers through complaint reporting, and our expertise and edge come from years of monitoring mobile-specific threats. We focus on the largest campaigns being missed by a filter and prioritize feeding that data back so that high impact issues are addressed.

INCREASED LEVEL OF TRANSPARENCY

Millions of messages are delivered over your network every day, and it is difficult to quantify problems within those messages because the data set is so large. If a filtering vendor is missing the problem, how can they accurately communicate their effectiveness? As an unbiased third party, we assess that data to give you an idea of how healthy your network is, fine tuning KPIs to highlight opportunities for improvement for both your network and vendors.

MESSAGING CONTENT INSIGHTS

Through automated content analysis, we categorize messages to uncover trends on your network. Easily answer questions like:

What are your biggest problems?
Where is message leakage occurring?
What business verticals are using messaging the most?
What market intelligence insights can I drive?

Our unique ability to classify messaging types allows you to examine your data and make it work for you.

YEARS OF EXPERTISE

We've been around the block. Our company's mission centers around protecting your customers, and we are specifically tuned to the worst problems that your subscribers face. 15 years of threat hunting in the mobile ecosystem has taught us to think like the spammers and stay one step ahead of their game.

PROTECT YOUR NETWORK

We process over 11 billion messages each year. Over 43 million of those messages contain phishing threats that have already reached consumers. With WMC Global, you can rest easy knowing we have an eye on everything.

5M

BLOCKED MALICIOUS TEXT MESSAGES PER DAY

500k

PROBLEMATIC URLS DETECTED PER DAY

88%

DECREASE IN CLIENT BRANDED PHISHING YoY FOR MAJOR MNO BRAND COMPLAINTS

Discover Unwanted Messaging Behavior

Our threat detection engine is powered by machine learning algorithms that have been trained on over four years of messaging-specific threats targeting Tier 1 mobile network operators (MNOs) and mobile virtual network operators (MVNOs). Using sophisticated natural language processing (NLP) and deep link analysis, we:

Classify High Risk Messaging

Identify Grey Route Traffic

Map Threat Actor Activity

Content Scoring + Analysis

Our platform is fed by a constantly updated database of keywords and phrases used in problematic messaging. We also integrate the number of times content has appeared in complaints to identify when seemingly innocuous messages are potentially spam.

Redirect Analysis

Threat actors send deceptive calls-to-action, disguised as legitimate messages, that ultimately lead the consumer to potentially troublesome content. Our platform extracts these calls-to-action and automatically follows them to the landing page. In this way, we link seemingly different and harmless messages by their landing page to group problematic campaigns.

In-House URL Scoring

Our platform leverages PhishFeed, our homegrown phishing detection engine, to score all URLs identified through redirect analysis. Scores are then used to set a risk tolerance for malicious URLs and enable automatic attack blocking.

Scalable Message Categorization

Our machine learning isn’t just focused on detecting messages that deliver phishing. We categorize all messaging behavior to identify other high-risk consumer experiences as well as lower risk nuisances. These categories pair well with content scoring and analysis to make blocking decisions.

Canary Identification

Our team proactively hunts for phone numbers used to test spam campaigns and ensures they remain active for continued monitoring. This method of tracking allows for phishing campaign identification within the first 10 messages sent, enabling proactive shutdown of attacks before they go live at scale.

Active Threat Hunting

Machine learning models alone can't beat spammers. Our team of seasoned threat hunters, with expertise in spam messaging analysis, pivots off of IPs, hashes, domain name systems (DNS), and other indicators of phishing to identify threats of all risk types. This way, we stay one step ahead of the threat actors, pushing the bar of threat hunting the final 5% that machine learning can't achieve without the human touch.