Alias-Aware Propagation of Simple Pattern-Based Properties in PHP Applications
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Bibliographic record
Abstract
In this paper, we present novel algorithms for the propagation of pattern-based properties in PHP applications. Intuitively, pattern-based properties designate those properties that are intrinsically associated to syntactic patterns in the source code. Security checks in access control models are an example of pattern-based properties. At the source code level, permissions are typically verified with stereotyped constructs, called security checks, that can be detected with syntactic patterns. Depending on the program, pattern-based properties can be a liased to variables that are propagated through the application. In that context, support from data-flow approaches is needed to track the propagation of patterns through the application. In the context of this paper, we focus on the alias-aware propagation of security checks through PHP applications. Specifically, we investigated the propagation of security checks in 8 PHP applications that implement access control models. We show how, using the Data log language, one can implement conceptually complex data-flow algorithms in an incremental, intuitive and compact manner. From the results perspective, we show how our algorithm identifies security checks and security check a liased variables in a precise way. The reported false positive rate varies between 0% and 4% for the investigated applications.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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