WAFA: Fine-grained dynamic analysis of web applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Database interactions are a vital source of information in the analysis of highly dynamic systems such as web applications. Most web application security vulnerabilities, such as SQL injection and broken access control, can be traced to problems in database interactions. which are implemented as a set of embedded or constructed SQL statements. The identification and analysis of these embedded statements as an integral component of the host application requires complex analysis including robust parsing, pattern matching, control flow and data flow analysis. In this paper, we propose an approach to this problem using source transformation technology. A rich model of fine-grained information is extracted from dynamic web applications, allowing us to reason not only about the SQL embedded system, but also about page access, server environment variables, cookies and session management functions. We evaluate our system on the popular bulletin board web application PhpBB, a PHP / MySQL-based dynamic web application.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it