Data · dataset · 2026
WASP: Adversarial Process-Injection Snapshots from Trusted Windows Binaries
Listed in Teesside University Research Data Repository
We introduce WASP (Windows Adversarial Simulation of Process Injection), a dataset of runtime snapshots collected from trusted Windows binaries during normal execution and controlled adversarial process-injection experiments.
Description
Unlike static malware collections, every retained binary was launched and observed dynamically in three isolated virtualised Windows environments with native services and active endpoint-security controls installed.
The dataset contains 74,368 ordered process snapshots: 72,472 benign-labelled observations and 1,896 injection-labelled observations. The benign baseline covers 2,102 accepted launches and 305 distinct trusted-binary identifiers. The controlled component contains 63 experiments in which the same target was independently launched under clean and injection conditions.
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Adversarial activity was simulated using Cobalt Strike C2, NimPlant C2, AsyncRAT and QuasarRAT across nine process-injection procedures. Each snapshot records process resources, CPU and I/O activity, executable-memory structure, modules, network state, thread context, image provenance and available ETW/kernel-audit measurements. The release includes explicit missingness indicators, grouping keys, feature definitions, experimental coverage records and integrity checksums.
Snapshot rows are repeated runtime measurements rather than independent attacks. Analyses should therefore preserve launch and experiment grouping. The release contains sanitised numerical telemetry only; it excludes Windows executables, malware binaries, payloads, injectors, credentials, IP addresses, raw memory and operational C2 configurations. - Folder Structure data/ ├── longitudinal_benign_dataset/ │ ├── windows10.csv │ ├── win2016_dc.csv │ └── win11_x64.csv │ └── controlled_paired_dataset/ ├── controlled_clean_snapshots.csv └── injection_labelled_snapshots.csv
Links
Where it is published
- DOI doi.org/10.17632/gj8vp49xm5.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Adversarial machine learning · Artificial intelligence · Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Social Science
- Inferred from text
- Image 75% · Simulation 75%
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/gj8vp49xm5.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:461101 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Adversarial Machine Learning'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |