Forensicsoffice uses an intelligent security scanner that leverages the power of artificial intelligence (AI) and machine learning (ML) to more effectively and reliably identify vulnerabilities in web applications. This sets it apart from traditional, blind automated scanners that have limited capabilities in assessing the security of complex web applications.
Benefits We Provide:
High Accuracy
The AI and ML-based approach identifies web application vulnerabilities more accurately than traditional scanners.
Extended Coverage
Examining the operation of web applications to identify hidden vulnerabilities that traditional scanners may miss.
Automated Remediation Suggestions
Based on findings, we provide suggestions for fixing vulnerabilities to reduce security risks.
Being AI-based, it offers the following advantages:
Remote Scanning
Scans web applications remotely, there is no need to access the server.
Data-Driven Decisions
Utilizing data from previous scans to make decisions during the scanning process, enhancing accuracy and efficiency.
Self-Learning Capability
It can learn from previous scanning results to further enhance its performance.
Overall, the scanner we use is an effective and reliable web vulnerability scanner that harnesses the power of AI and ML for deeper examination on web application security. By accurately identifying and addressing vulnerabilities, we can help web developers and operators protect their websites from cyberattacks more effectively.
Every website and web application is unique, and there is no one-size-fits-all solution. Forensicsoffice employs methods of machine learning and artificial intelligence to tailor its approaches to the behavior of the target. As a result, there are fewer false positives, and the outcomes are more reliable than with other automated tools. Some of these applications include:
Identifying Vulnerable Pages:
Using machine learning, it analyzes thousands of pages and classifies them into vulnerable and non-vulnerable categories.
Detecting Unique 404 Pages:
Utilizing natural language processing (NLP) techniques.
Identifying Input Vectors:
For example, identifying base64-encoded parameters and potential vulnerabilities.
Creating a "Fingerprint" of the Target:
Detecting fundamental technologies such as operating systems and databases.
Calculating Security Risks:
Assessing the impact of findings based on context.
Comprehensive Security Tests
Includes various security tests, such as SQL injection, Cross-Site Scripting (XSS), and the OWASP Top 10 security risk tests. It automatically identifies these vulnerabilities and assesses their risks.
Additional tests are included to evaluate the overall security of the website. These include:
File Management Vulnerabilities, such as file upload flaws that could allow unauthorized files to be uploaded and infect the website.
Timeout Attacks, which can exploit security flaws in the website to reserve server resources indefinitely.
Denial-of-Service (DoS) Attacks, which aim to make the website unavailable to users.
Vulnerable Modules and Plugins, which could exploit security flaws in third-party modules or plugins installed on the website to gain unauthorized access.
ForensicsOffice tests against the following platforms:
With our assistance, you can accurately identify and assess the security vulnerabilities present on your website. This can help you prevent cyberattacks and protect your site from harmful intrusions.
The security tests from ForensicsOffice cover the following areas:
Web Applications
Operating Systems
Databases
Network Infrastructure
