Python Penetration Testing
Boost Your Cybersecurity Posture with DSecured: Expert Python Penetration Testing, Comprehensive Reports, and Proven Success in Large Corporations.
Enhance your defenses with DSecured's unparalleled expertise in Python penetration testing. With years of experience and numerous successful engagements, our detailed and insightful reports empower IT departments to effectively address vulnerabilities. Join our multitude of satisfied customers and ensure your organization’s security. Trust DSecured for reliable, comprehensive solutions.
How much does a Python penetration test cost?
The cost of a penetration test that checks the IT security of a Python application depends on various factors. It is therefore never possible to say in general terms how much such a test will cost. Factors that influence the costs include
- - Number of functions, routes and parameters
- - Number of user groups
- - Multitenancy - yes or no?
- - Number of components
- - Use of frameworks
- - Type of test: Blackbox, Whitebox, Greybox
Small Python applications can be tested for as little as €3,500. If a full report is not required, the costs can be reduced by 15-20% - in such a (rather rare) case, the security vulnerabilities will be communicated in writing by e-mail shortly.
We always recommend requesting a (free) individual quote for your specific case.
How is a Python penetration test carried out?
Below you will find a link that describes the process of a penetration test in general. To summarize, a penetration test consists of the following steps:
- 1. Initial meeting - usually via video conference to discuss relevant issues
- 2. Information gathering - we collect everything we need for the penetration test (from the attacker perspective)
- 3. Search for technical weaknesses - as a rule, we communicate here in parallel with the development team. with the development team
- 4. Reporting - we provide a detailed PDF report
- 5. Retesting: We make sure that you have closed the security gaps correctly
"Python is a very popular programming language thanks to its simplicity and flexibility. Python is the first choice in the field of data science and machine learning. The result: Python applications in productive use (and with security gaps)."
Damian Strobel - Founder of DSecured
We are happy to support you in securing your Python application. Request a quote now offer now.
Related to a Python Pentest
Pentest: Services
Common issues with Python applications: Security vulnerabilities
Various types of applications will be written with Python in 2025. This starts in the classic way with web applications and APIs and ends with command line tools and machine learning applications. This is exactly what the range of security vulnerabilities looks like. Many Python applications work together with databases - this is where the first potential danger can be found in the form of SQL injections. Python applications often interact with other systems and execute shellcode. If this is the case, a pentest provider should always check whether code injections are possible. Read and write accesses to files on the entire system are also frequently seen in the Python context. All of this is interesting if the Python application is not only used internally, but can also be accessed by external users via an API or a web interface. Problems with authorization are also not uncommon in Python applications.
Many rather stupid problems can be avoided from the outset by using solid frameworks such as Django or Flask. But there are pitfalls here too. Developers may not use the standard functions of Django or Flask correctly, resulting in security vulnerabilities. One example of this is mass assignment attacks or cross-site scripting (XSS) attacks.
A Python penetration test is always worthwhile! If you already use Django, we recommend the Django penetration test subpage.
We find security vulnerabilities in your Python application and help you to close them.
Some companies we have been able to help
Request a quote
Further questions and answers on the topic
"Python Penetration
Testing"
How long does a Python Penetration Testing engagement typically last?
The duration of a Python Penetration Testing task can fluctuate based on the scope & complexity of the network or application in question. Smaller projects might wrap up within a few days, whereas more elaborate systems could take a few weeks to thoroughly test.
What particular vulnerabilities does Python Penetration Testing target?
Python Penetration Testing primarily hunts for flaws in Python-developed applications or systems, like input sanitization errors, execution bugs, & other security loopholes that could be exploited maliciously.
Who should consider getting a Python Penetration Testing done?
Organizations employing Python-based apps or environments should consider it crucial. It's especially vital if your organization handles sensitive data or relies heavily on Python for critical operations.
Is Python Penetration Testing disruptive to daily operations?
Typically, these tests are designed to be minimally invasive. We prioritize your operational continuity & perform tests in a controlled manner to avoid system downtime or other disruptions.
What do you receive at the conclusion of Python Penetration Testing?
At the end of the testing phase, we deliver a detailed report summarizing vulnerabilities, evidence of potential entry points for attackers, along with tailor-made recommendations for fortifying your Python applications.
Can Python Security Audits reveal hidden weaknesses?
Indeed, reviewing your Python code & systems can expose subtle security defects that might not be obvious, safeguarding you against possible breaches by fortifying weak spots.
What's the main difference between standard pen tests & Python Security Audits?
While standard pen tests might look across multiple systems & languages, Python Security Audits zero in on Python-specific issues, offering targeted insights into vulnerabilities associated with Python environments.
How often should you conduct Python Security Audits for optimal security?
We recommend a minimum of annually, or bi-annually if your Python environment undergoes frequent changes. Regular audits help keep your defenses primed against evolving security threats.
What are the prerequisites for initiating a Python Security Audit?
Before diving into an audit, it's vital to have a clear framework of your system architecture, critical assets, and specific areas of concern. This background info cultivates a more targeted & effective audit process.