Characterizing and Bridging the Diagnostic Gap in eBPF Verifier Rejections

Jimmc4141 pts0 comments

[2607.02748] Characterizing and Bridging the Diagnostic Gap in eBPF Verifier Rejections

Skip to main content

arXiv is now an independent nonprofit!<br>Learn more<br>&times;

Search arXiv

Press Enter to search &middot; Advanced search

-->

Computer Science > Operating Systems

arXiv:2607.02748 (cs)

[Submitted on 2 Jul 2026]

Title:Characterizing and Bridging the Diagnostic Gap in eBPF Verifier Rejections

Authors:Yusheng Zheng, Zhengjie Ji, Weichen Tao, Xiangyu Gao, Jianchang Su, Wei Zhang, Andi Quinn, Dan Williams<br>View a PDF of the paper titled Characterizing and Bridging the Diagnostic Gap in eBPF Verifier Rejections, by Yusheng Zheng and 7 other authors

View PDF<br>HTML (experimental)

Abstract:eBPF lets developers run custom programs inside the Linux kernel, where a verifier proves each program safe. However, when the verifier rejects a program, the unclear error makes repair challenging: the error reports where verification stopped, not where the program lost the proof the verifier required. To quantify this gap, we conduct an empirical study of 235 reproduced rejections, showing that 47% of rejections return only EINVAL, one error string maps to as many as nine distinct root causes, and 10 of the 12 root causes are eBPF-specific. Repair thus requires both domain knowledge and locating where the proof was lost, yet existing tools only help developers read the error. We present bpfix, which reconstructs where the required proof was established and where it was lost from the verifier log, and prints a Rust-like diagnostic. To evaluate bpfix and the ability of LLMs to help repair, we construct a benchmark of 75 LLM repair tasks. Current models achieve 0-37% one-shot success with the raw log, and replacing the log with the bpfix localization improves repair by 11-21pp, suggesting that locating where the proof was lost is key to guiding repair. bpfix is available at this https URL

Comments:<br>Yusheng Zheng, Zhengjie Ji, Weichen Tao have equal contribution to the paper

Subjects:

Operating Systems (cs.OS); Programming Languages (cs.PL); Software Engineering (cs.SE)

Cite as:<br>arXiv:2607.02748 [cs.OS]

(or<br>arXiv:2607.02748v1 [cs.OS] for this version)

https://doi.org/10.48550/arXiv.2607.02748

Focus to learn more

arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Yusheng Zheng [view email]<br>[v1]<br>Thu, 2 Jul 2026 20:33:32 UTC (237 KB)

Full-text links:<br>Access Paper:

View a PDF of the paper titled Characterizing and Bridging the Diagnostic Gap in eBPF Verifier Rejections, by Yusheng Zheng and 7 other authors<br>View PDF<br>HTML (experimental)<br>TeX Source

view license

Current browse context:

cs.OS

next >

new<br>recent<br>| 2026-07

Change to browse by:

cs<br>cs.PL<br>cs.SE

References & Citations

NASA ADS<br>Google Scholar

Semantic Scholar

export BibTeX citation<br>Loading...

BibTeX formatted citation

&times;

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author

Venue

Institution

Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)

Major funding support from

toggle arxiv verifier ebpf rejections diagnostic

Related Articles