A side-channel attack, which requires a physical presence to the TPM, can lead to extraction of an Elliptic Curve Diffie-Hellman (ECDH) key.
CVSS Details
CVSS Score
3.8
Severity
LOW
CVSS Vector
CVSS:3.1/AV:P/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
Configurations (Affected Products)
No configuration data available.
具体受影响的TPM厂商及固件版本未在描述中明确，请参照官方通告
PoC / Exploit Code
⚠ For Security Research Only
The following code is for security research and authorized testing only.
python
# PoC Concept for TPM Side-Channel Attack (CVE-2026-6923)
# Note: This is a conceptual simulation. Real exploitation requires physical hardware access
# and measurement equipment (e.g., oscilloscope) to capture power traces.
import numpy as np
def simulate_ecdh_key_extraction(power_traces):
"""
Simulates the analysis of power traces to recover an ECDH key.
In a real attack, this would use CPA (Correlation Power Analysis).
"""
recovered_key = []
# Iterate through hypothetical key bits (e.g., 256-bit for ECC)
for bit_index in range(256):
# Hypothetical power model for the bit operation
model = generate_hamming_weight_model(bit_index)
# Calculate correlation between measured traces and power model
correlation = np.corrcoef(power_traces, model)[0, 1]
# Determine bit value based on correlation threshold
if correlation > 0.8:
recovered_key.append('1')
else:
recovered_key.append('0')
return int("".join(recovered_key), 2)
def generate_hamming_weight_model(bit):
"""Generates a dummy power model for the specific bit."""
return np.random.random(1000) # Placeholder for real data
print("Executing side-channel analysis...")
# print(f"Extracted Key: {simulate_ecdh_key_extraction(np.random.random(1000))}")