Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175B37A33411876374437C6D130A55B3BE2A6DA5FFA970A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:MCuNLz4NP/y9svbliCduRu2SdFtiuCa28y2O9:LulmAI2Su |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f93a9c699643 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
d8ccc8c2ecccc3b8 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
0c324c4d4c4c2000,d004800158588090,d888ccc8f2ccccc3 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.