File size: 4,150 Bytes
d9f1916
f8cd8cc
3a2b389
2fb3bf7
 
 
000642c
d316383
d9f1916
 
f8cd8cc
 
d9f1916
f8cd8cc
2fb3bf7
 
f8cd8cc
2fb3bf7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dc6faa5
 
 
3a2b389
2fb3bf7
000642c
 
d9f1916
ea52f2e
 
d9f1916
d316383
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d9f1916
000642c
2fb3bf7
ea52f2e
000642c
2fb3bf7
 
ea52f2e
000642c
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
import httpx
from fastapi import FastAPI
from fastapi.responses import JSONResponse, FileResponse
from pydantic import  BaseModel
from enum import Enum
from transformers import pipeline
from phishing_datasets import submit_entry
from url_tools import extract_urls, resolve_short_url, extract_domain_from_url
from urlscan_client import UrlscanClient
import requests

app = FastAPI()
urlscan = UrlscanClient()

class MessageModel(BaseModel):
    text: str

class QueryModel(BaseModel):
    sender: str
    message: MessageModel

class AppModel(BaseModel):
    version: str

class InputModel(BaseModel):
    _version: int
    query: QueryModel
    app: AppModel

class ActionModel(Enum):
    # Insufficient information to determine an action to take. In a query response, has the effect of allowing the message to be shown normally.
    NONE = 0
    # Allow the message to be shown normally.
    ALLOW = 1
    # Prevent the message from being shown normally, filtered as Junk message.
    JUNK = 2
    # Prevent the message from being shown normally, filtered as Promotional message.
    PROMOTION = 3
    # Prevent the message from being shown normally, filtered as Transactional message.
    TRANSACTION = 4

class SubActionModel(Enum):
    NONE = 0

class OutputModel(BaseModel):
    action: ActionModel
    sub_action: SubActionModel

pipe = pipeline(task="text-classification", model="mrm8488/bert-tiny-finetuned-sms-spam-detection")

@app.get("/.well-known/apple-app-site-association", include_in_schema=False)
def get_well_known_aasa():
    return JSONResponse(
        content={
            "messagefilter": {
                "apps": [
                    "X9NN3FSS3T.com.lela.Serenity.SerenityMessageFilterExtension",
                    "X9NN3FSS3T.com.lela.Serenity"
                ]
            }
        },
        media_type="application/json"
    )

@app.get("/robots.txt", include_in_schema=False)
def get_robots_txt():
    return FileResponse("robots.txt")

@app.post("/predict")
def predict(model: InputModel) -> OutputModel:
    text = model.query.message.text

    print(f"Predict: {text}")

    urls = extract_urls(text)

    if urls:
        print("Searching for past scans")
        search_results = [urlscan.search(f"domain:{extract_domain_from_url(url)}") for url in urls]

        scan_results = []
        for search_result in search_results:
            results = search_result.get('results', [])
            for result in results:
                result_uuid = result.get('_id', str)
                scan_result = urlscan.get_result(result_uuid)
                scan_results.append(scan_result)

        if not scan_results:
            print("Scanning...")
            scan_results = [urlscan.scan(url) for url in urls]

        for result in scan_results:
            overall = result.get('verdicts', {}).get('overall', {})
            print(f"Checking overall verdict: {overall}")
            if overall.get('hasVerdicts'):
                score = overall.get('score')
                print(f"Has verdicts score {score}")

                if 0 < overall.get('score'):
                    print("Submitting entry and returning JUNK.")
                    submit_entry(model.query.sender, model.query.message.text)
                    return OutputModel(action=ActionModel.JUNK, sub_action=SubActionModel.NONE)
                # elif overall.get('score') < 0:
                #     print("Returning ALLOW.")
                #     return OutputModel(action=ActionModel.ALLOW, sub_action=SubActionModel.NONE)

    label = pipe(text)
    if label[0]['label'] == 'LABEL_1':
        print("Classify LABEL_1. Submitting entry and returning JUNK.")
        submit_entry(model.query.sender, model.query.message.text)
        return OutputModel(action=ActionModel.JUNK, sub_action=SubActionModel.NONE)
    else:
        print("Classify LABEL_0. Submitting entry and returning NONE.")
        return OutputModel(action=ActionModel.NONE, sub_action=SubActionModel.NONE)

class ReportModel(BaseModel):
    sender: str
    message: str

@app.post("/report")
def report(model: ReportModel):
    submit_entry(model.sender, model.message)