This image simulates a malicious payload hidden inside a DNG file format.
IMGP0847.DNG
Linked to CVE-2025-43300 image parsing vulnerability
Threat Detected
• CVE-2025-43300 signature detected
• Suspicious DNG image structure
• Potential image parser exploitation attempt
• Risk of memory corruption during preview or decoding
Risk Score: 96 / 100
Try a Real Message Scan
Suspicious Message Example
This payload contains exploit-like Unicode and malformed text patterns.
CVE-2015-1157 Exploit
Power
لُلُصّبُلُلصّبُررً ॣ ॣh
冗
Threat Detected
• Unicode obfuscation detected
• CVE-style exploit signature found
• Unusual encoding and mixed-script payload
• High risk of parser or messaging-service crash
Risk Score: 92 / 100
The Risk Most People Miss
Your iPhone constantly handles untrusted content: links, images, messages, and files.
This content is automatically parsed by iOS —
which means vulnerabilities can be triggered before you even interact.
How Attacks Actually Work
Malicious Websites & Links
Links can trigger downloads, configuration profiles, or enterprise-signed apps outside the App Store.
This has already affected real devices worldwide.
Image-Based Exploits
iOS decodes images automatically in Messages, Mail, and browsers. Crafted images can exploit memory bugs, executing code without user interaction. These zero-click attacks have impacted users on the latest iPhones.
Text & Encoding Attacks
Malicious text can use invisible characters, Unicode tricks, or malformed encodings. These payloads can trigger parsing bugs or crash iOS services. Observed on real devices.
What Shomer Does
• Scans your device for known iOS vulnerabilities
• Analyzes suspicious images, text, and URLs
• Detects exploit patterns and abnormal structures
• Gives clear, actionable guidance — not just warnings
How It Works
1. Run a quick device scan
2. Identify unpatched vulnerabilities
3. Test risky content safely
4. Get real risk assessment and guidance