Open-source atomic malware analysis

Analyze another

asatheesh/TransRAC main

PYTHON
Verdict: BENIGN
AI Legitimate ML model evaluation script
Mal-ecule
H₄(Db₂F₂OsPo₂)
Size 7.8 KB download
First seen 34 days ago
Analyzed 34 days ago
Ecosystem huggingface
run_local.py python
7:46 /Qwen3-VL-2B-Instruct # all videos
8 """
9
10 import argparse
11 import base64 Imports Python's base64 module
12 import csv
13 import gc
14 import io
15 import json
16 import os
17 import re
18 import sys
19 import time
20
21 import cv2
22 import numpy as np
23
24 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) Modifies module search path (sys.path)
25 from config import (
26 TEST_CSV, VIDEO_DIR, RESULTS_DIR, PROMPTS, DEFAULT_PROM
95:18 sformers import Qwen3VLForConditionalGeneration
96 model = Qwen3VLForConditionalGeneration.from_pretrained( Transformers model loader enables remote code
97 args.model, torch_dtype=torch.bfloat16,
98 device_map="cuda:0", low_cpu_mem_usage=True,
99 )
100 eli
101:21 rmers import Qwen2_5_VLForConditionalGeneration
102 model = Qwen2_5_VLForConditionalGeneration.from_pretrained( Transformers model loader enables remote code
103 args.model, torch_dtype=torch.bfloat16,
104 device_map="cuda:0", low_cpu_mem_usage=True,
105 )
106 els
107:9 from transformers import AutoModelForVision2Seq
108 model = AutoModelForVision2Seq.from_pretrained( Transformers model loader enables remote code
109 args.model, torch_dtype=torch.bfloat16,
110 device_map="cuda:0", low_cpu_mem_usage=True,
111 trust_remote_code=True, Enables a Python remote-code loading option
112 )
113
114 processor = AutoProcessor.from_pretrained(args.model)
115 model.eval()
116 gc.collect()
117 torch.cuda.empty_cache()
118 print(f"Model loaded. GPU memory: {torch.cuda.memory_allocated()/1e9:.1f}GB")
184:56 d_count']} ({status})")
185
186 # Save results
187 os.makedirs(RESULTS_DIR, exist_ok=True)
188 model_safe = args.model.split("/")[-1]
189 filepath = os.path.join(RESULTS_DIR, f"{model_safe}_{args.prompt}.json")
190 with open(filepath, "w") as f:
191 json.dump({ Serializes to a stream with json.dump()
192 "model": model_safe,
193 "prompt": args.prompt,
194 "timestamp": time.strftime("%Y-%m-%d %H:%M:%S

Loading traits…

Identity

SHA-256 4e8be27279bbdd42f8b7adb8226ab198499fc9f4dc810628512522ff63bfabaa
Canonical SHA-256 3098ab4988cd2f6b60e19fa7d3b99fc4ca08ede782f02b4d1dead8bebd050921
Filename run_local.py
Package asatheesh/TransRAC
Version main
PURL pkg:huggingface/asatheesh/TransRAC@main

Origin

Source forager
Feed huggingface.co
Ecosystem huggingface
Domain huggingface.co
URL https://huggingface.co/asatheesh/TransRAC

Timeline

First seen 26 Jul 2026 21:39 UTC
First analyzed 27 Jul 2026 02:08 UTC
Last analyzed 27 Jul 2026 02:08 UTC
Last updated 27 Jul 2026 02:08 UTC

Labeling

Label unknown
Label source forager
Traits version 9266e