IT technology

Cybersecurity

Malicious Image Blocking cannot identify all malicious images with 100% accuracy. While advanced algorithms and machine learning models are used to detect known patterns, signatures, and behaviors associated with malicious images (e.g., phishing, malware-laden images, or steganography), new or highly obfuscated threats may evade detection.  

For example, attackers might use novel steganographic techniques to hide malicious code within image pixels, or they could exploit zero-day vulnerabilities that haven't been added to the blocking system's database yet.  

To enhance protection, Tencent Cloud offers **Content Security (Image Moderation)**, which combines AI-powered detection with real-time updates to identify a wide range of malicious images, including those with explicit content, terrorism-related imagery, or embedded threats. Additionally, **Tencent Cloud Web Application Firewall (WAF)** can integrate with image moderation to block suspicious requests containing harmful images. Regular updates and custom rules help improve detection rates over time.

Malicious Image Blocking cannot identify all malicious images with 100% accuracy. While advanced algorithms and machine learning models are used to detect known patterns, signatures, and behaviors associated with malicious images (e.g., phishing, malware-laden images, or steganography), new or highly obfuscated threats may evade detection.  
For example, attackers might use novel steganographic

Can Malicious Image Blocking identify all malicious images?

Malicious Image Blocking cannot identify all malicious images with 100% accuracy. While advanced algorithms and machine learning models are used to detect known patterns, signatures, and behaviors ass...