# Semantic Validation of Packer Identification Tools: Characterization, Repair, and Downstream Impact

> Uses unpacking outcomes as reference evidence to assess packer labels, normalizes heterogeneous tool results, and evaluates complementary signature/heuristic pools with static predicates derived from unpacker implementations. It traces how identification errors affect later unpacking and malware classification.

- Authors: Fangtian Zhong; Zhuoyun Qian; Yili Jiang; Jiaqi Huang; Yunming Pang; Xiuzhen Cheng
- Venue: arXiv
- Status: Preprint
- Publication / posting date: May 25, 2026
- Date source: First arXiv submission was 2026-05-25; reviewed v3 was revised on 2026-10-19. No formal publication was verified.
- First arXiv submission: May 25, 2026
- arXiv: 2605.25923
- Reviewed arXiv version: v3
- DOI: 10.48550/arxiv.2605.25923
- Sources reviewed: 2026-10-20
- Added to the catalog: 2026-10-20
- Original paper: <https://arxiv.org/abs/2605.25923>
- PDF: <https://arxiv.org/pdf/2605.25923v3>
- BibTeX: <https://awesomerea.org/papers/citations/paper-packer-identification-semantic-validation.bib>
- Catalog page: <https://awesomerea.org/papers/paper-packer-identification-semantic-validation/>
- Record JSON: <https://awesomerea.org/papers/paper-packer-identification-semantic-validation/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/papers/paper-packer-identification-semantic-validation/index.md)

## Scope and limitations

The corpus is approximately 160,000 Windows PE samples, split into roughly 130,000 for analysis/rule construction and 30,000 for testing. Unpacker failures or partial recovery can compromise the derived reference labels. Family-identification improvements use common pooled-rule configurations, not independently validated patches to seven separate tools. Repair evaluation excludes proprietary implementations and graph/learning-based methods. Results do not establish coverage of other executable formats, all packer families or general semantic equivalence.

## Why it fits this collection

Examines the reliability of packer identification as a prerequisite for recovering analyzable binary content; it is a foundation-tool evaluation rather than an agent benchmark.

## Publication and review notes

October v3 while retaining the May first-submission date. Its six-author list agrees across the current abstract, versioned PDF and updated DataCite record; v2 lists seven authors and is not combined with v3. The article is CC BY-SA 4.0, which does not license malware samples or third-party tools. Reviewed sources and focused search did not establish a paper-specific public release or its license.

## Primary sources

1. <https://arxiv.org/abs/2605.25923>
2. <https://arxiv.org/html/2605.25923v3>
3. <https://api.datacite.org/dois/10.48550/arxiv.2605.25923>
4. <https://arxiv.org/pdf/2605.25923v3>
5. <https://arxiv.org/abs/2605.25923v2>

## About this entry

Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.