Bleichenbacher Padding Attack: Facebook Server Network Traffic from 2023

padding-attack-dataset-facebook-2023-12-05 is a dataset of network traffic related to the Bleichenbacher padding attack, created on 2023-12-05 with server facebook. The dataset was authored by Jan Peter Drees and Dennis Funke and is available on the OpenML platform. It contains TCP-level features from multiple network flows, likely captured during attack simulations.

Use Cases

• Detecting Bleichenbacher padding oracle attacks based on TCP flag patterns and sequence numbers.
• Analyzing network flow behavior during cryptographic attacks based on TCP window size and timestamp options.
• Training machine learning models for protocol-level anomaly detection based on features like TCP checksum status and urgent pointers.

Strengths

• Dataset creation date is explicitly stated as 2023-12-05.
• Attribute names provide a detailed breakdown of TCP header fields across multiple network flows (CKE0, DISC0, DISC1, CKE1, DISC2).
• License is specified as Open Database License (ODbL), clarifying permissible use.

Limitations

• Row count, file size, and sample data are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jan Peter Drees and Dennis Funke

Collection Method

Likely network traffic capture from a server associated with Facebook during a simulated Bleichenbacher padding attack.

Time Range

Dataset created on 2023-12-05.