AI Image Security Scanner - Detect Hidden Text & Prompt Injection

Scan images for hidden text, steganography, and prompt injection attacks. Detect adversarial content before it reaches your AI systems.

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PNG, JPG, GIF, WebP, BMP

What This Scanner Checks

⏳ OCR Text Extraction (hidden/visible text)

⏳ Metadata Analysis (EXIF/XMP fields)

⏳ Low-Contrast Text Detection

⏳ LSB Steganography Patterns

⏳ Edge/Corner Text Analysis

Security Analysis Report

Upload an image to scan for hidden content and security threats

Common AI Image Attack Techniques

Low-Contrast Injection

Text written in colors nearly matching the background. Invisible to humans but OCR-readable by AI models.

Metadata Injection

Malicious prompts hidden in EXIF comments, XMP data, or other metadata fields that AI may process.

Steganography

Data hidden in pixel LSBs or color channels. Can contain encoded instructions or payloads.

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Frequently Asked Questions

AI prompt injection is a technique where malicious instructions are hidden within images to manipulate AI vision models. When an AI reads the image, it may follow these hidden commands instead of its intended behavior, potentially leaking data, bypassing safety measures, or performing unauthorized actions.

Attackers use several techniques: low-contrast text that's invisible to humans but readable by AI OCR, steganography hiding data in pixel values, text in image metadata (EXIF/XMP), tiny text in corners or edges, text matching the background color, and adversarial patterns that exploit AI model vulnerabilities.

The scanner checks for: OCR-extractable text (including low-contrast), EXIF and XMP metadata with suspicious content, LSB steganography patterns, unusual color distributions, text-like patterns in image edges, and metadata fields commonly used for injection attacks.

Yes. Research has shown that GPT-4V, Claude, Gemini, and other multimodal AI models can read and follow instructions embedded in images, even when that text is barely visible to humans. This is a documented security concern in AI safety research.

If the scanner finds suspicious content: 1) Don't process the image with AI systems, 2) Review the detected content manually, 3) Consider the source of the image, 4) Strip metadata before use if the image content itself is safe, 5) Report malicious images to the appropriate platform.

No security scanner is perfect. This tool detects common injection techniques but sophisticated attacks may evade detection. Use it as one layer of defense alongside other security measures. False positives can occur with legitimate watermarks or copyright notices.

PNG, JPG/JPEG, GIF, WebP, and BMP formats are supported. The scanner extracts metadata from all formats and performs OCR analysis on the visible image content.

No. All analysis happens locally in your browser using JavaScript. Your images never leave your device. The OCR engine (Tesseract.js) runs entirely client-side.

Steganography hides data in image pixels by modifying their least significant bits (LSB). The scanner analyzes LSB patterns across the image - random-looking LSB values may indicate hidden data, while natural images have more predictable patterns.

Best practices include: scanning uploaded images before AI processing, stripping metadata from user uploads, using content moderation alongside AI analysis, implementing rate limiting, logging suspicious patterns, and staying updated on new attack techniques.

What This Scanner Checks

Common AI Image Attack Techniques

Low-Contrast Injection

Metadata Injection

Steganography

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