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autosint.py
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autosint.py
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from PyQt5 import QtWidgets, uic
from PyQt5.QtGui import (
QPalette,
QColor,
QPixmap,
QImage,
)
from PyQt5.QtCore import Qt, QCoreApplication, QObject, pyqtSignal, QTimer
from PyQt5.QtWidgets import (
QFileDialog,
QApplication,
QTreeWidgetItem,
QMenu,
QAction,
QApplication,
QMessageBox,
)
import json
from PIL import Image
from PIL.ExifTags import TAGS
import sys
from ui import Ui_MainWindow
import requests
from concurrent.futures import ThreadPoolExecutor, as_completed
from pprint import pprint
import threading
import folium
from folium.plugins import HeatMap
import os
import subprocess
import platform
import time
import re
import ast
class WorkerSignals(QObject):
finished = pyqtSignal()
progress = pyqtSignal(int)
class SortedTreeWidgetItem(QTreeWidgetItem):
def __init__(self, parent, strings):
super().__init__(parent, strings)
def __lt__(self, other):
column = self.treeWidget().sortColumn()
key1 = self.text(column)
key2 = other.text(column)
return self.natural_sort_key(key1) < self.natural_sort_key(key2)
@staticmethod
def natural_sort_key(key):
import re
return [int(c) if c.isdigit() else c.lower() for c in re.split(r'(\d+)', key)]
class Ui(QtWidgets.QMainWindow):
def __init__(self):
super(Ui, self).__init__()
self.worker_signals = WorkerSignals()
self.worker_signals.finished.connect(self.on_all_done)
self.worker_signals.progress.connect(self.update_progress)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
self.setFixedSize(1099, 777)
self.setAttribute(Qt.WA_DeleteOnClose)
# Button handling
self.ui.run_button.clicked.connect(self.run)
self.ui.clear_button.clicked.connect(self.clear_fields)
self.ui.open_image_button.clicked.connect(self.open_image)
self.ui.api_key_button.clicked.connect(self.open_api_dialog)
self.ui.refresh_button.clicked.connect(self.populate_treeview)
self.ui.open_image_output_button.clicked.connect(self.open_output)
self.ui.quota_button.clicked.connect(self.get_quota)
# Menubar handling
self.exitact = self.ui.actionQuit
self.exitact.triggered.connect(QCoreApplication.quit)
self.exportact = self.ui.actionExport
self.exportact.triggered.connect(self.export)
self.saveact = self.ui.actionSave
self.saveact.triggered.connect(self.save)
self.openact = self.ui.actionOpen
self.openact.triggered.connect(self.open)
self.aboutact = self.ui.actionAbout
self.aboutact.triggered.connect(self.about)
self.output_data = {} # The dictionary for the output tree object
self.second_window = None # Placeholder for the second window
self.geoclip_model = None # Placeholder for the geoclip model
self.image_fileName = None # Placeholder for the image file name
self.astro_session = None # Placeholder for the astro session
self.session = None # Placeholder for the session
self.functions_done = 0
self.total_percentage = 0
self.username_event = threading.Event()
self.ip_event = threading.Event()
# Apis
self.apikeys = None
# Output Form
# self.ui.output_tree.sortItems(0, Qt.SortOrder.AscendingOrder)
# Setup context menu
self.setup_context_menu()
self.show()
def run(self):
self.total_percentage = 0
self.func_ammount = 0 # The ammount of functions to be run. This is used in progress bar, so it adds up to 100.
self.functions_done = 0 # The ammount of functions already done
# # self.ui.module_progress.setValue(0)
self.ui.total_progress.setValue(0)
# Module Threads
self.username_thread = None
self.ip_thread = None
self.email_thread = None
self.domain_thread = None
self.phone_thread = None
self.crypto_thread = None
self.ssid_thread = None
self.bssid_thread = None
self.mac_thread = None
self.image_search_thread = None
self.initialize_apis() # initialize the Apis
# Disable all input Forms
self.ui.username_input.setDisabled(True)
self.ui.ip_input.setDisabled(True)
self.ui.email_input.setDisabled(True)
self.ui.domain_input.setDisabled(True)
self.ui.phone_input.setDisabled(True)
self.ui.crypto_input.setDisabled(True)
self.ui.ssid_input.setDisabled(True)
self.ui.bssid_input.setDisabled(True)
self.ui.mac_input.setDisabled(True)
self.ui.image_search_checkBox.setDisabled(True)
self.ui.thread_input.setDisabled(True)
self.ui.open_image_button.setDisabled(True)
self.ui.api_key_button.setDisabled(True)
self.ui.clear_button.setDisabled(True)
self.ui.refresh_button.setDisabled(True)
self.ui.menubar.setDisabled(True)
self.ui.run_button.setDisabled(True)
self.ui.open_image_output_button.setDisabled(True)
self.ui.image_search_mode_comboBox.setDisabled(True)
self.ui.keep_data_checkBox.setDisabled(True)
self.ui.num_predictions_input.setDisabled(True)
self.ui.quota_button.setDisabled(True)
# Input fields
self.username = self.ui.username_input.text()
self.ip = self.ui.ip_input.text()
self.email = self.ui.email_input.text()
self.domain = self.ui.domain_input.text()
self.phone_number = self.ui.phone_input.text()
self.crypto = self.ui.crypto_input.text()
self.ssid = self.ui.ssid_input.text()
self.bssid = self.ui.bssid_input.text()
self.mac = self.ui.mac_input.text()
self.image_search = self.ui.image_search_checkBox.isChecked()
self.threads = self.ui.thread_input.value()
self.keep_data = self.ui.keep_data_checkBox.isChecked()
self.num_predictions = self.ui.num_predictions_input.value()
if self.keep_data == False:
self.output_data = {} # reset Output data
if (
self.username_thread == None
and self.email_thread == None
and self.ip_thread == None
and self.domain_thread == None
and self.phone_thread == None
and self.crypto_thread == None
and self.ssid_thread == None
and self.bssid_thread == None
and self.mac_thread == None
and self.image_search_thread == None
):
self.ui.username_input.setDisabled(True)
self.ui.ip_input.setDisabled(True)
self.ui.email_input.setDisabled(True)
self.ui.domain_input.setDisabled(True)
self.ui.phone_input.setDisabled(True)
self.ui.crypto_input.setDisabled(True)
self.ui.ssid_input.setDisabled(True)
self.ui.bssid_input.setDisabled(True)
self.ui.mac_input.setDisabled(True)
self.ui.image_search_checkBox.setDisabled(True)
self.ui.thread_input.setDisabled(True)
self.ui.open_image_button.setDisabled(True)
self.ui.api_key_button.setDisabled(True)
self.ui.clear_button.setDisabled(True)
self.ui.refresh_button.setDisabled(True)
self.ui.menubar.setDisabled(True)
self.ui.run_button.setDisabled(True)
self.ui.output_tree.setDisabled(True)
self.ui.open_image_output_button.setDisabled(True)
self.ui.image_search_mode_comboBox.setDisabled(True)
self.ui.keep_data_checkBox.setDisabled(True)
self.ui.num_predictions_input.setDisabled(True)
self.ui.quota_button.setDisabled(True)
queue_thread = threading.Thread(target=self.queue_threads)
queue_thread.start()
### Getters ###
def _get_username(self):
self.output_data["Username"] = {}
self.output_data["Username"]["Online Accounts"] = {}
percentage = 0
self.urls_checked = 0
with open(os.path.abspath(os.path.dirname(__file__)) + "/resources/urllist.json") as urllist:
data_loaded = json.load(urllist)
# Split data_loaded into n blocks
items = list(data_loaded.items())
block_size = len(items) // self.threads
blocks = [
items[i * block_size : (i + 1) * block_size] for i in range(self.threads)
]
if len(items) % self.threads != 0:
blocks[-1].extend(items[self.threads * block_size :])
def check_errors(block):
results = []
referer = "https://books.toscrape.com/"
accept = "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8"
accept_language = "en-GB,en;q=0.6"
cookie = "zero-chakra-ui-color-mode=light-zero; AMP_MKTG_8f1ede8e9c=JTdCJTIycmVmZXJyZXIlMjIlM0ElMjJodHRwcyUzQSUyRiUyRnd3dy5nb29nbGUuY29tJTJGJTIyJTJDJTIycmVmZXJyaW5nX2RvbWFpbiUyMiUzQSUyMnd3dy5nb29nbGUuY29tJTIyJTdE; AMP_8f1ede8e9c=JTdCJTIyZGV2aWNlSWQlMjIlM0ElMjI1MjgxOGYyNC05ZGQ3LTQ5OTAtYjcxMC01NTY0NzliMzAwZmYlMjIlMkMlMjJzZXNzaW9uSWQlMjIlM0ExNzA4MzgxNTQ4ODQzJTJDJTIyb3B0T3V0JTIyJTNBZmFsc2UlMkMlMjJsYXN0RXZlbnRUaW1lJTIyJTNBMTcwODM4MjE1NTQ2MCUyQyUyMmxhc3RFdmVudElkJTIyJTNBNiU3RA=="
user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36"
custom_headers = {
"User-Agent": user_agent,
"Accept": accept,
"Accept-Language": accept_language,
"Cookie": cookie,
"Referer": referer,
}
for site, info in block:
url = str(info["url"]).replace("{}", self.username)
if "urlProbe" in info:
url = str(info["urlProbe"]).replace("{}", self.username)
self.urls_checked += 1
for _ in range(2): # Retry up to 2 times
try:
response = requests.get(
url
)
if response.status_code == 403:
response = requests.get(
url,
headers=custom_headers
)
if (
info["errorType"] == "status_code"
and response.status_code == 200
and info["errorType"] != "response_url"
and info["errorType"] != "message"
):
# Handle Status code errors
self.output_data["Username"]["Online Accounts"][site] = url
# Didn't work (does not follow redirects)
# if (
# info["errorType"] == "response_url"
# and info["errorUrl"].replace("{}", self.username) != response.url
# and info["errorUrl"].replace("{}", self.username) != response.url + "/"
# ): # Handle response url errors
self.output_data["Username"]["Online Accounts"][site] = url
if (
info["errorType"] == "message"
and type(info["errorMsg"]) is str
and info["errorMsg"] not in response.text
): # Handle response url errors
self.output_data["Username"]["Online Accounts"][site] = url
results.append((site, response.status_code))
break # Exit the retry loop on success
except requests.exceptions.Timeout:
print(f"Timeout error for {url}, retrying...")
percentage = int(round(self.urls_checked / len(items), 2) * 100)
self.ui.module_progress_label.setText("[Usernames] Checking usernames: " + str(percentage) + "%")
except requests.exceptions.RequestException as e:
print(f"Request error for {url}: {e}")
percentage = int(round(self.urls_checked / len(items), 2) * 100)
self.ui.module_progress_label.setText("[Usernames] Checking usernames: " + str(percentage) + "%")
break # Exit the retry loop on non-timeout error
except KeyError:
percentage = int(round(self.urls_checked / len(items), 2) * 100)
self.ui.module_progress_label.setText("[Usernames] Checking usernames: " + str(percentage) + "%")
break
return results
with ThreadPoolExecutor(max_workers=self.threads) as executor:
futures = [executor.submit(check_errors, block) for block in blocks]
for future in as_completed(futures):
for site, status_code in future.result():
percentage = int(round(self.urls_checked / len(items), 2) * 100)
print(
f"{site}: {status_code} : {percentage}% : {self.urls_checked}/{len(items)}"
)
self.ui.module_progress_label.setText("[Usernames] Checking usernames: " + str(percentage) + "%")
pprint(self.output_data, indent=4)
response = requests.get(
"https://cavalier.hudsonrock.com/api/json/v2/osint-tools/search-by-username?username="
+ self.username
)
if response.text == "No results":
self.output_data["Username"]["Compromised data"] = "No data"
else:
self.output_data["Username"]["Compromised data"] = response.json()
def _get_ip(self):
self.ui.module_progress_label.setText("[IP] Fetching IP information...")
if self.ip != "":
# Fetch IP information from IP-AP
response = requests.get("http://ip-api.com/json/" + self.ip)
self.output_data["IP"] = response.json()
# Fetch IP information from Criminal IP
url = f"https://api.criminalip.io/v1/asset/ip/report?ip={self.ip}&full=true"
payload = {}
headers = {"x-api-key": self.apikeys["criminalip"]}
response = requests.request(
"GET", url, headers=headers, data=payload
)
# Store the dictionary in self.output_data
self.output_data["IP (Criminal IP)"] = response.json()
self.ui.module_progress_label.setText("[IP] Done!")
def _get_email(self):
self.ui.module_progress_label.setText("[E-Mail] Fetching email information...")
response = requests.get("http://api.eva.pingutil.com/email?email=" + self.email)
self.output_data["Email"] = response.json()
self.ui.module_progress_label.setText("[E-Mail] Done!")
def _get_domain(self):
self.ui.module_progress_label.setText("[Domain] Fetching domain information...")
if "apilayer" in self.apikeys:
# Whois lookup
url = "https://api.apilayer.com/whois/check?domain=" + self.domain
headers = {"apikey": self.apikeys["apilayer"]}
response = requests.request("GET", url, headers=headers)
self.output_data["Domain info"] = response.json()
print(response.json())
self.ui.module_progress_label.setText("[Domain] Fetching domain information... 50%")
# DNS lookup
url2 = "https://api.apilayer.com/dns_lookup/api/any/" + self.domain
headers2 = {"apikey": self.apikeys["apilayer"]}
response2 = requests.request("GET", url2, headers=headers2)
self.output_data["Domain info"] = response2.json()
print(response2.json())
else:
self.error_message(
"You don't have an ApiLayer Api key.\nRegister one at https://apilayer.com/"
)
self.ui.module_progress_label.setText("[Domain] Done!")
def _get_phone(self):
self.ui.module_progress_label.setText("[Phone number] Fetching phone number information...")
if "apilayer" in self.apikeys:
if self.apikeys["apilayer"]:
url = f"https://api.apilayer.com/number_verification/validate?number={self.phone_number}"
headers = {"apikey": self.apikeys["apilayer"]}
response = requests.request("GET", url, headers=headers)
if "message" in response.json():
if response.json()["message"] == "You cannot consume this service":
self.output_data["Phone Number"] = {"error" : "You are not subscribed to the number verification API!"}
elif response.json()["message"] == "No API key found in request":
self.output_data["Phone Number"] = {"error" : "You don't have an ApiLayer API key"}
else:
self.output_data["Phone Number"] = response.json()
self.ui.module_progress_label.setText("[Phone number] Done!")
def _get_crypto(self):
self.ui.module_progress_label.setText("[Crypto] Fetching crypto information...")
url = f"https://blockchain.info/rawaddr/{self.crypto}"
try:
response = requests.get(url)
response.raise_for_status()
data = response.json()
address_info = {
"address": data.get("address"),
"hash160": data.get("hash160"),
"number_of_transactions": data.get("n_tx"),
"total_received": data.get("total_received")
/ 1e8, # Convert from Satoshi to BTC
"total_sent": data.get("total_sent")
/ 1e8, # Convert from Satoshi to BTC
"final_balance": data.get("final_balance")
/ 1e8, # Convert from Satoshi to BTC
"transactions (shown: 100)": [],
}
for tx in data.get("txs", []):
tx_info = {
"hash": tx.get("hash"),
"time": tx.get("time"),
"result": tx.get("result") / 1e8, # Convert from Satoshi to BTC
"inputs": [],
"outputs": [],
}
for inp in tx.get("inputs", []):
input_info = {
"prev_out": inp.get("prev_out", {}).get("addr"),
"value": (
inp.get("prev_out", {}).get("value") / 1e8
if inp.get("prev_out", {}).get("value")
else None
), # Convert from Satoshi to BTC
}
tx_info["inputs"].append(input_info)
for out in tx.get("out", []):
output_info = {
"address": out.get("addr"),
"value": out.get("value") / 1e8, # Convert from Satoshi to BTC
}
tx_info["outputs"].append(output_info)
address_info["transactions (shown: 100)"].append(tx_info)
self.output_data["Crypto"] = address_info
self.ui.module_progress_label.setText("[Crypto] Done!")
except requests.exceptions.RequestException as e:
print(f"Error fetching data for address {self.crypto}: {e}")
self.output_data["Crypto"] = response.json()
def _get_ssid(self):
self.ui.module_progress_label.setText("[SSID] Fetching SSID information...")
url = "https://api.wigle.net/api/v2/network/search"
headers = {"Authorization": f"Basic {self.apikeys["wigle"]}"}
params = {
"ssid": self.ssid,
"onlymine": "false", # Set to 'true' to limit to networks found by you
"first": "0", # Pagination start
"resultsPerPage": "100", # Number of results per page
}
# Make the request
response = requests.get(url, headers=headers, params=params)
if response.status_code == 401:
self.output_data["Wifi SSID"] = {"error" : "Not Authorized (WiGLE.net)"}
else:
# Output data
self.output_data["Wifi SSID"] = response.json()
self.ui.module_progress_label.setText("[SSID] Done!")
def _get_bssid(self):
self.ui.module_progress_label.setText("[BSSID] Fetching BSSID information...")
url = "https://api.wigle.net/api/v3/detail/wifi/" + self.bssid
headers = {"Authorization": f"Basic {self.apikeys["wigle"]}"}
# Make the request
response = requests.get(url, headers=headers)
if response.status_code == 200:
# Output data
self.output_data["Wifi BSSID"] = response.json()
self.ui.module_progress_label.setText("[BSSID] Done!")
else:
self.output_data["Wifi BSSID"] = {"error" :"BSSID not found"}
self.ui.module_progress_label.setText("[BSSID] Done!")
def _get_mac(self):
self.ui.module_progress_label.setText("[MAC] Fetching MAC information...")
response = requests.get(
f"https://www.macvendorlookup.com/api/v2/{self.mac}",
)
if response.status_code == 200:
# Output data
self.output_data["MAC"] = response.json()[0]
self.ui.module_progress_label.setText("[MAC] Done!")
else:
self.output_data["MAC"] = {"error" :"MAC not found"}
def _image_search(self):
mode = self.ui.image_search_mode_comboBox.currentText()
predictions = {}
if self.image_fileName is not None:
if mode == "AI Geolocate":
from geoclip import GeoCLIP
if self.geoclip_model == None:
self.ui.module_progress_label.setText("[AI Geolocate] Loading GeoCLIP model...")
self.geoclip_model = GeoCLIP() # Only load model once to increse performance
self.ui.module_progress_label.setText("[AI Geolocate] Done!")
self.ui.module_progress_label.setText("[AI Geolocate] Making predictions...")
top_pred_gps, top_pred_prob = self.geoclip_model.predict(self.image_fileName, top_k=self.num_predictions)
for i in range(self.num_predictions):
locations = {}
lat, lon = top_pred_gps[i]
locations["probability"] = top_pred_prob[i].item()
locations["lat"] = lat.item()
locations["lon"] = lon.item()
locations["Locations"] = f"{lon:.6f}, {lat:.6f}"
predictions[f"Prediction {i+1}"] = locations
# Set top coordinates to plot the heatmap (<= top_k)
top_n_coordinates = self.num_predictions
gps_coordinates = top_pred_gps.tolist()[:top_n_coordinates]
probabilities = top_pred_prob.tolist()[:top_n_coordinates]
total_prob = sum(probabilities)
normalized_probs = [prob / total_prob for prob in probabilities]
# Combine coordinates with normalized probabilities
weighted_coordinates = [
(lat, lon, weight) for (lat, lon), weight in zip(gps_coordinates, normalized_probs)
]
# Calculate the average location to center the map
avg_lat = sum(lat for lat, lon, weight in weighted_coordinates) / len(
weighted_coordinates
)
avg_lon = sum(lon for lat, lon, weight in weighted_coordinates) / len(
weighted_coordinates
)
# Create a map centered around the average coordinates
m = folium.Map(location=[avg_lat, avg_lon], zoom_start=2.2)
# Define the color gradient
magma = {
0.0: "#FFFF00", # Yellow
0.2: "#FFA500", # Orange
0.4: "#FF4500", # Red-Orange
0.6: "#FF0000", # Red
0.8: "#800080", # Purple
1.0: "#4B0082", # Indigo
}
HeatMap(weighted_coordinates, gradient=magma).add_to(m)
# Mark top coordinate
top_coordinate = gps_coordinates[0]
top_probability = normalized_probs[0]
folium.Marker(
location=top_coordinate,
popup=f"Top Prediction: {top_coordinate} with probability {top_probability:.4f}",
icon=folium.Icon(color="orange", icon="star"),
).add_to(m)
# Display the map
m.save(os.path.abspath(os.path.dirname(__file__)) + "/output/AI Geolocate/map.html")
map_path = os.path.abspath(os.path.dirname(__file__)) + "/output/AI Geolocate/map.html"
predictions["map"] = map_path
self.ui.module_progress_label.setText("[AI Geolocate] Done!")
self.output_data["Image Search"] = predictions
elif mode == "Astro Locate":
if self.session == None:
R = requests.post(
"http://nova.astrometry.net/api/login",
data={"request-json": json.dumps({"apikey": self.apikeys["astrometry"]})},
)
r_json = R.json()
if r_json["status"] == "error":
self.output_data["Astro Loacte"] = r_json
return
self.session = r_json["session"]
# # session = R.json()
# Define the API URL
url = "http://nova.astrometry.net/api/upload"
# Define the JSON payload
payload = {
"publicly_visible": "n",
"allow_modifications": "d",
"session": self.session,
"allow_commercial_use": "d",
}
# Convert the payload to a JSON-encoded string
payload_json = json.dumps(payload)
# Define the file path and filename
file_path = self.image_fileName
filename = os.path.basename(file_path)
# Prepare the multipart/form-data request
files = {
"request-json": (None, payload_json, "text/plain"),
"file": (filename, open(file_path, "rb"), "application/octet-stream"),
}
# Send the POST request
response = requests.post(url, files=files)
response_json = response.json()
response_json = response.json()
print(response_json)
status_resp = requests.get(
"http://nova.astrometry.net/api/submissions/" + str(response_json["subid"])
)
status_resp_json = status_resp.json()
self.ui.module_progress_label.setText("[Astro] Waiting for queue...")
while status_resp_json["jobs"] == [] or status_resp_json["jobs"][0] == None:
status_resp = requests.get(
"http://nova.astrometry.net/api/submissions/" + str(response_json["subid"])
)
status_resp_json = status_resp.json()
print(status_resp_json)
time.sleep(10)
else:
print("Got data!")
print(status_resp_json)
print("Jobid: " + str(status_resp_json["jobs"][0]))
job_status_resp = requests.get(
"https://nova.astrometry.net/api/jobs/" + str(status_resp_json["jobs"][0])
)
job_status_resp_json = job_status_resp.json()
self.ui.module_progress_label.setText("[Astro] Waiting for job to finish...")
while job_status_resp_json["status"] == "success":
job_status_resp = requests.get(
"https://nova.astrometry.net/api/jobs/" + str(status_resp_json["jobs"][0])
)
job_status_resp_json = job_status_resp.json()
print(job_status_resp_json)
time.sleep(10)
else:
self.ui.module_progress_label.setText("[Astro] Started job!")
# Get all files
types = {
"wcs_file": "fits",
"new_fits_file": "fits",
"rdls_file": "fits",
"axy_file": "fits",
"corr_file": "fits",
"annotated_display": "jpg",
"red_green_image_display": "jpg",
"extraction_image_display": "jpg",
"grid_display" : "jpg",
"kml_file" : "kmz"
}
for type in types:
response = requests.get(
"https://nova.astrometry.net/" + type + "/" + str(status_resp_json["jobs"][0])
)
os.makedirs(os.path.abspath(os.path.dirname(__file__)) + "/output/astro/" + str(status_resp_json["jobs"][0]), exist_ok=True)
with open(os.path.abspath(os.path.dirname(__file__)) + "/output/astro/" + str(status_resp_json["jobs"][0]) + "/" + type + "." + types[type], "wb") as f:
f.write(response.content)
response_data = {}
# Get job calibration
response = requests.get(f"http://nova.astrometry.net/api/jobs/{str(status_resp_json["jobs"][0])}/calibration/")
response_data["Calibration"] = response.json()
# Get objects
response = requests.get(f"http://nova.astrometry.net/api/jobs/{str(status_resp_json["jobs"][0])}/objects_in_field/")
response_data["Objects"] = response.json()["objects_in_field"]
# Get annotations
response = requests.get(f"http://nova.astrometry.net/api/jobs/{str(status_resp_json["jobs"][0])}/annotations/")
response_data["Annotations"] = response.json()["annotations"]
# Extra data
response_data["JobId"] = str(status_resp_json["jobs"][0])
# # Calibration data:
# "Calibration": {
# "dec": -59.727196011045294,
# "height_arcsec": 13998.484988536236,
# "orientation": 180.81975262317985,
# "parity": 1.0,
# "pixscale": 18.1562710616553,
# "ra": 160.84411496567608,
# "radius": 2.7495621282589067,
# "width_arcsec": 13998.484988536236
# }
#
# Url format:
# http://www.worldwidetelescope.org/wwtweb/ShowImage.aspx?
# reverseparity=False
# &scale=18.156271
# &name=nebula.jpg
# &imageurl=https://nova.astrometry.net/image/25590565
# &credits=Astrometry.net+User+(All+Rights+Reserved)
# &creditsUrl=
# &ra=161.838357
# &dec=-60.757122
# &x=482.5
# &y=589.8
# &rotation=-0.82
# &thumb=https://nova.astrometry.net/image/25590569
#
# Image id can be aquired with: status_resp_json["images"][0]
response_data["WorldWideTelescope"] = f"http://www.worldwidetelescope.org/wwtweb/ShowImage.aspx?reverseparity={False if response_data["Calibration"]["parity"] == 1.0 else True}&scale={response_data["Calibration"]["pixscale"]}&name={filename}&credits=Astrometry.net+User+(All+Rights+Reserved)&creditsUrl=&ra={response_data["Calibration"]["ra"]}&dec={response_data["Calibration"]["dec"]}"
self.output_data["Astro Image"] = response_data
with open(os.path.abspath(os.path.dirname(__file__)) + "/output/astro/" + str(status_resp_json["jobs"][0]) + "/data.json", "w") as f:
str_ = json.dumps(
self.output_data,
indent=4,
sort_keys=True,
separators=(",", ": "),
ensure_ascii=False,
)
f.write(str(str_))
self.ui.module_progress_label.setText("[Astro] Done")
elif mode == "Metadata":
self.ui.module_progress_label.setText("[Metadata] Reading EXIF data...")
image = Image.open(self.image_fileName)
exif_data = image._getexif()
if exif_data is None:
return {}
# Create a dictionary to store the EXIF data
exif_dict = {}
for tag, value in exif_data.items():
tag_name = TAGS.get(tag, tag)
if tag_name != "MakerNote":
exif_dict[tag_name] = value
self.output_data["Metadata"] = exif_dict
else:
self.error_message("No image selected, please select an image")
self.ui.module_progress_label.setText("[Metadata] Done!")
### Api ###
def get_quota(self):
if self.apikeys == None:
self.initialize_apis()
if "apilayer" in self.apikeys:
url = f"https://api.apilayer.com/number_verification/validate"
headers = {
"apikey": self.apikeys["apilayer"],
}
phone_response = requests.request("GET", url, headers=headers)
url = f"https://api.apilayer.com/whois/check"
whois_response = requests.request("GET", url, headers=headers)
url = f"https://api.apilayer.com/dns_lookup/api/soa/example.com"
headers = {
"apikey": self.apikeys["apilayer"],
}
dns_response = requests.request("GET", url, headers=headers)
pprint(dns_response.headers)
else:
self.error_message(
"You don't have an ApiLayer Api key.\nRegister one at https://apilayer.com/"
)
try:
out_str = f"""Quota remaining:
Apilayer:
- Phone Number: {phone_response.headers["x-ratelimit-remaining-month"]} remaining of {phone_response.headers["x-ratelimit-limit-month"]} per Month
- Whois: {whois_response.headers["x-ratelimit-remaining-month"]} remaining of {whois_response.headers["x-ratelimit-limit-month"]} per Month
- DNS: {dns_response.headers["x-ratelimit-remaining-month"]} remaining of {dns_response.headers["x-ratelimit-limit-month"]} per Month
Criminal IP:
Can't get Quota through API.
Check it at https://www.criminalip.io/mypage/information
Wigle.net + Astrometry
No restrictions! :)
(Don't overuse it please)
"""
except KeyError:
self.error_message("Apilayer Key missing! Please try again.")
else:
QMessageBox.information(
self,
"Quota Information",
out_str,
buttons=QMessageBox.StandardButton.Ok,
defaultButton=QMessageBox.StandardButton.Ok,
)
def open_api_dialog(self):
if self.second_window is None:
self.second_window = QtWidgets.QMainWindow()
uic.loadUi("apikeys.ui", self.second_window) # Load apikeys.ui dynamically
self.second_window.save_button.clicked.connect(self.api_get_data)
self.second_window.cancel_button.clicked.connect(self.api_reset_fields)
self.second_window.warning_label.setStyleSheet("color: rgb(255, 0, 0);")
try:
with open(os.path.abspath(os.path.dirname(__file__)) + "/resources/apikeys.json", "r") as infile:
self.apikeys = json.load(infile)
# Set the Lineedits for the api keys in the apikey window to their corresponding api key
if len(self.apikeys) != 0:
for key in self.apikeys:
if key == "criminalip":
self.second_window.criminalip_key.setText(self.apikeys[key])
if key == "apilayer":
self.second_window.apilayer_key.setText(self.apikeys[key])
if key == "wigle":
self.second_window.wigle_key.setText(self.apikeys[key])
if key == "astrometry":
self.second_window.astro_key.setText(self.apikeys[key])
except json.decoder.JSONDecodeError:
pass
except FileNotFoundError:
pass
self.second_window.show()
def api_get_data(self):
criminalip = self.second_window.criminalip_key.text()
apilayer = self.second_window.apilayer_key.text()
wigle = self.second_window.wigle_key.text()
astrometry = self.second_window.astro_key.text()
json_data = {"criminalip": criminalip, "apilayer": apilayer, "wigle": wigle , "astrometry": astrometry}
# Write json data
with open(os.path.abspath(os.path.dirname(__file__)) + "/resources/apikeys.json", "w", encoding="utf8") as outfile:
str_ = json.dumps(
json_data,
indent=4,
sort_keys=True,
separators=(",", ": "),
ensure_ascii=False,
)
outfile.write(str(str_))
try:
with open(os.path.abspath(os.path.dirname(__file__)) + "/resources/apikeys.json", "r") as infile:
self.apikeys = json.load(infile)
except json.decoder.JSONDecodeError:
pass
self.initialize_apis()
self.second_window.close()
def api_reset_fields(self):
# Read JSON file
with open(os.path.abspath(os.path.dirname(__file__)) + "/resources/apikeys.json") as data_file:
data_loaded = json.load(data_file)
if "criminalip" in data_loaded:
self.second_window.criminalip_key.setText(data_loaded["criminalip"])
if "apilayer" in data_loaded:
self.second_window.apilayer_key.setText(data_loaded["apilayer"])
if "wigle" in data_loaded:
self.second_window.wigle_key.setText(data_loaded["wigle"])
if "astrometry" in data_loaded:
self.second_window.astro_key.setText(data_loaded["astrometry"])
self.second_window.close()
def initialize_apis(self):
try:
with open(os.path.abspath(os.path.dirname(__file__)) + "/resources/apikeys.json", "r") as infile:
self.apikeys = json.load(infile)
except json.decoder.JSONDecodeError:
pass
except FileNotFoundError:
self.error_message(os.path.abspath(os.path.dirname(__file__)) + "/resources/apikeys.json does not exist! Add API keys in the API keys menu!")
### Misc ###
def clear_fields(self):
self.ui.username_input.clear()
self.ui.ip_input.clear()
self.ui.email_input.clear()
self.ui.domain_input.clear()
self.ui.phone_input.clear()
self.ui.crypto_input.clear()
self.ui.ssid_input.clear()
self.ui.bssid_input.clear()
self.ui.mac_input.clear()
self.ui.output_tree.clear()
self.ui.image_search_checkBox.setChecked(False)
# # self.ui.module_progress.setValue(0)
self.ui.total_progress.setValue(0)
def open_image(self):
# Function to resize the thumbnail image by adding black bars where needed
def resize_image(image_path):
target_size = (self.ui.search_image.width(), self.ui.search_image.height())
# Open the input image
img = Image.open(image_path)
# Calculate the scaling factor to fit the image within the target size
img_ratio = img.width / img.height
target_ratio = target_size[0] / target_size[1]
if img_ratio > target_ratio:
# Image is wider than target, fit by width
new_width = target_size[0]
new_height = round(target_size[0] / img_ratio)
else:
# Image is taller than target, fit by height
new_height = target_size[1]
new_width = round(target_size[1] * img_ratio)
# Resize the image
img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
# Create a new image with the target size and black background
new_img = Image.new("RGB", target_size, (0, 0, 0))
# Paste the resized image onto the black background