C2PA Photo Provenance Inspector v2.4 Hardware Engine

Presets:
View Mode:
C2PA Hardware Valid
Authenticity Score
98.2%
PRNU Sensor Match
0.982
Tampered Mask Area
0.0%
Enclave Signature
VALID_0x8f9a
Canonical Audit Output VERIFIED_HARDWARE_ORIGIN
Apple iPhone 16 Pro (Secure Enclave Signature Valid)

Photodiode signature hash matches Apple hardware root certificate. Sensor PRNU noise pattern verified against silicon baseline with zero structural AI generative anomalies detected.

SHA-256 Digest: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855

C2PA Cryptographic Tree

C2PA v1.3 Standard
c2pa.root_manifest ACTIVE
Claim Generator: Apple iOS 27.1 / Camera Engine
Apple Secure Enclave VERIFIED
Hardware ID: A18 Pro Photodiode Subsystem
Sig: 0x8f9a2b71...e901a
st.prnu_sensor_fingerprint MATCHED
Gain non-uniformity variance: ±0.0014 dB
c2pa.actions 1 ACTION
• c2pa.created (Camera Hardware Capture)

Hardware Sensor Diagnostics

Camera Model Apple iPhone 16 Pro Back Main Camera
Sensor Type 48MP Quad-Pixel CMOS
Photodiode Signature 0x992B...SECURE
AI Diffusion Inpainting NOT_DETECTED
C2PA Signature Hash sha256:7f81b2...9a12
How Hardware Photo Provenance Works

Modern mobile sensors utilize embedded hardware enclave chips to generate a cryptographic hash of raw photodiode data at the precise instant of capture. This signature is bound to a C2PA metadata manifest and paired with PRNU (Photo-Response Non-Uniformity) sensor grain analysis to detect synthetic AI generation or localized software editing.

Enjoy this tool? Build your own with Super