Spam & Fake Reviews

Spam and fake reviews have become a ubiquitous problem for social media and ecommerce companies. Spammers and fraudsters can easily circumvent rules engines or supervised machine learning solutions with sophisticated attack techniques. DataVisor’s Unsupervised Machine Learning Engine provides the next level of defense against these sophisticated techniques by analyzing the hidden connections between accounts. It detects new and evolving attacks without training data or labels, and often before the spam or fake reviews have been sent.

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How Spammers Evade Detection

Content Scraping

Attackers simulate real user activity by uploading content scraped from other sites, fooling rules engines, supervised ML, and human reviewers.

Mechanical Turks

Cyber-criminals employ armies of low-cost, on-demand human labor to bypass captchas and create realistic reviews and spam.

Account Incubation

Fraudsters incubate fake accounts for months with simulated user activity to evade account-age and activity-based rules.

IP Obfuscation

Fraudsters utilize proxies, VPNs or cloud-hosting services to hide their tracks from IP blacklists and rules-based systems.

Why UML can Stop Sophisticated Attacks

DataVisor’s Unsupervised Machine Learning Engine is uniquely capable of stopping sophisticated, evolving attacks because it analyzes all accounts and events at once, uncovering the hidden connections between them. This approach allows DataVisor to detect spam or fake reviews without training data or labels, and even when individual accounts do not appear suspicious when viewed in isolation.

Detect Unknown Threats

Detect new and continually evolving attacks faster, without waiting for training data or labels.

Accuracy and Coverage

Analyze hidden connections between accounts to detect more attacks while lowering false positives.

Early Detection

Detect malicious accounts at account registration before they can send spam or publish fake reviews.

Learn How DataVisor Stops Fake Reviews and Spam

WEBINAR

Learn how Yelp Stops Fake Accounts and Reviews with DataVisor

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VIDEO

Learn how Pinterest Stops Spam and Abuse with DataVisor

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SPECIAL REPORT

Learn about the behaviors and techniques spammers use to evade detection.

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The DataVisor Detection Solution

Unsupervised Machine Learning Engine

Predict new, unknown threats without labels or training data by analyzing hundreds of millions of accounts and events simultaneously using the industry’s most advanced unsupervised learning technology.

Supervised Machine Learning Engine

Use industry leading supervised machine learning algorithms to augment the unsupervised machine learning detection with client-provided labels.

Automated Rules Engine

Generate and deprecate rules automatically, lowering maintenance costs and improving results explainability.

DataVisor Global Intelligence Network

Aggregate and analyze the industry’s broadest array of digital fingerprints and signals from billions of users across a variety of industries.

Account linkage view to discover hidden links among malicious accounts

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What’s Happening in Spam & Fake Reviews

BLOG POST

The Hidden Enemy Threatening Your Online User Growth | Fake Reviews, Fraud, Transactions

We are entering an era of billions of users and trillions of online accounts. This is attracting a growing wave of attacks like fake reviews targeting online services of all sizes. Not only are there more mobile apps and web sites than ever before, but they are also becoming much more complex. While each of these new “features” makes the service more attractive to benign users, they are also potential vulnerabilities to be exploited by bad actors.

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BLOG POST

Infographic: The Online Fraudster’s Tool Shed

DataVisor releases a new infographic highlighting the tools fraudsters use to build their armies of attackers. From their email addresses to their use of cloud services, we know what they are doing when they are DIY-ing an attack.

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BLOG POST

Cyber Attackers Turn Location-Based Services Against You with Spam Account Profiles

Social spam is not new. We’ve all experienced our share of unsolicited comments, stranger friend requests, phishing links, fake reviews, and click-baiting. But as online services introduce new features to make connecting and sharing content easier than ever, social spam is rapidly taking on new shapes and forms from spam account profiles.

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Read DataVisor’s Latest Posts

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Getting Started

Want to get started and find out how DataVisor can help find malicious accounts hiding inside your social platform? Request a security assessment today!

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