import impacket (not installed on base Kali). Fix: Use only standard libraries ( requests , sys , re , time ). If you must use a third-party lib, include a requirements.txt and mention it in the report header.
Writing the Offensive Security Web Expert (OSWE) exam report is the final, critical step to earning your certification. Even if you find every vulnerability during the 47-hour and 45-minute practical exam, a poorly structured report will result in a failing grade. OffSec evaluates your report with the strictness of a real-world penetration testing firm.
: If required by the instructions, encrypt the archive with your OSID or the specified password. oswe exam report
Paste the exact snippets of vulnerable source code into the report.
If you are preparing for your upcoming exam or currently compiling your notes, let me know: What are you using? import impacket (not installed on base Kali)
The certification is a hallmark of advanced web application penetration testing, focusing heavily on white-box source code auditing. While the 48-hour exam is a grueling test of skill, the subsequent 24-hour reporting period is equally critical. A well-structured OSWE exam report is not merely a formality—it is a required deliverable that demonstrates your ability to not only find complex vulnerabilities but to document, replicate, and remediate them professionally.
OffSec provides an official template, and you should use it. While you can customize the styling, the core structure should remain intact: Writing the Offensive Security Web Expert (OSWE) exam
For every vulnerability discovered, you must provide actionable advice on how the developers can fix the code. Avoid generic advice like "sanitize inputs." Instead, provide specific recommendations, such as suggesting the use of parameterized queries, secure cryptographic libraries, or robust input validation frameworks. Step-by-Step Writing Workflow
Write step-by-step instructions for a human to follow manually (without the script).
The script utilizes the requests library to simulate browser behavior and BeautifulSoup for parsing HTML responses during the SQLi extraction phase.