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Password Model

Developed by SAPOSS
A text classification model for automatically filtering false positive password findings, designed to work with credential mining tools
Downloads 4,884
Release Time : 3/2/2022

Model Overview

This model is based on the RoBERTa architecture, specifically designed to identify and filter false positive password findings in scan results, improving the accuracy of credential mining tools.

Model Features

False Positive Filtering
Specifically designed to reduce false positive results in credential scanning
Open Source Integration
Directly integrated into SAP's credential mining tools
Based on CodeBERT
Fine-tuned on the CodeBERT-base-mlm foundation

Model Capabilities

Text Classification
Password Identification
False Positive Filtering

Use Cases

Security Scanning
Credential Scan Result Filtering
Automatically filters false positive passwords found in code scans
Improves the accuracy of security scans
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