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Evaluation dossier

EVMbench

Can agents detect, repair and exploit smart-contract vulnerabilities in the benchmark?

Sources and provenance ↓ Read the research narrative →

CROSS-REPORT MONITORING

PUBLISHED EVIDENCE

EVMbench · Detect

Published measurements across source reports. Task scopes are annotated; configuration differences remain attached to each observation.

1 observations · 1 dated

● Matched◇ Configuration differs□ Some conditions undisclosed
Detect (%) DeepSeek v4 Pro 0 20 40 60 80 100 24.4%

Select a point or table row to inspect its conditions and provenance.

1 observations

Measurements and source conditions
System / modelResultCondition statusTask / conditionsEvaluator / reportDates
DeepSeek v4 ProDeepSeek V4 Pro24.4%DetectIncompleteEVMbenchdirect API, xhigh—Neo ResearchEvaluating DeepSeek v4 Pro for Frontier RisksRelease 2026-04-24Report 2026-05-29

Task and measurement

Benchmark protocol profile

Task / subject
The model or agent in the stated task configuration.
Measurement target
Separates detection, patching and exploitation modes with their stated task sets.
Scoring / outcome
Detect · Source-reported measurement under the recorded configuration.
Interpretation boundary
Modes and task subsets cannot be combined into an undifferentiated cyber-risk score.

Separates detection, patching and exploitation modes with their stated task sets.

A reported evaluation

The source evaluates DeepSeek v4 Pro · EVMbench.

Reported measurement: Detect · 24.4%.

Source-reported measurement under the recorded configuration. Per-result sample size not disclosed

Detect: 24.4 percent. Conditions are retained from the source.

Measurement dossier · NUWA reading

Source-method reading and retained catalogue information are distinguished. Publication does not establish independent evidence or bilingual editorial review.

Measurement construct
Can agents detect, patch and exploit historical smart-contract vulnerabilities?
Task population
117 curated vulnerabilities from forty audits support separate modes; isolated-chain execution and deterministic transaction replay validate exploit tasks.
Scoring and failure modes
Separate detection recall, patch validation and programmatically verified exploit score.
System conditions
117 vulnerabilities from forty audits; isolated local single-chain replay.
Statistical meaning
Source-reported result statements; this does not establish trial counts, denominators or an estimator: GPT-5.3-Codex via Codex CLI scored 71.0% in exploit mode, versus GPT-5’s 33.3%.
Validity and interpretation
Known-ground-truth detection misses novel issues; sequential replay excludes timing-dependent behavior, and local single-chain tests limit realism.
Appropriate research use
Model recommendation: cite mode and harness conditions; do not treat exploit scores as live-network compromise rates.
  • EVMbench · Introducing EVMbench: capability modes (official article paragraphs 31–44)Selected original resource https://openai.com/index/introducing-evmbench/; sha256:0d7b334d1452cbe75c15509ed172d187c3c9e70ce186f39678761a9e9ac8ddaa; web-tool-extracted-response; not original HTML
  • EVMbench · Limitations (paragraphs 45–49)Selected original resource https://openai.com/index/introducing-evmbench/; sha256:0d7b334d1452cbe75c15509ed172d187c3c9e70ce186f39678761a9e9ac8ddaa; web-tool-extracted-response; not original HTML

Evidence across reports

The same benchmark name can cover different tasks, scoring rules and system configurations. Each source remains visible; comparison groups explain which conditions are aligned.

Original source charts and materials

Read the original protocol ↗

Protocol scope is catalogued. Exact numerical extraction and an appropriate source figure remain to be reviewed.

Assessment provenance

Evaluating DeepSeek v4 Pro for Frontier Risks → · External report

Related research questions

References

  1. [1] deepseek-v4-pro release ; News article title, dated heading and availability
  2. [2] deepseek-v4-pro developer model card ; Introduction; model comparison table
  3. [3] Evaluating DeepSeek v4 Pro for Frontier Risks. 2026-05-29. v1.1 · 29 May 2026 ; PDF p. 9; EVMbench; Detect; PDF p. 9; EVMbench; Patch; PDF p. 9; EVMbench; Exploit
  4. [4] EVMbench