Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C2A6A26005D63F1667C7D9A3A1B70AFB818089C99A408FC1F5D30F6FE6DB1FD16252 |
|
CONTENT
ssdeep
|
768:/OmhGXcBob5BXiyhZ6hWo9/MF3zS3b9qYl2cLq+198puC+HofJyJGbq9GjI:/OmhG8o1BXiyhZ6hWswSr9qq2cLq+19T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e31e9c61b26c9e94 |
|
VISUAL
aHash
|
80889ee3e3e3e3ff |
|
VISUAL
dHash
|
2838340e4e4f4730 |
|
VISUAL
wHash
|
80809ec0e3e3e3ff |
|
VISUAL
colorHash
|
07c00400000 |
|
VISUAL
cropResistant
|
2838340e4e4f4730,bef9a9a1a1a6a4a9,3b5b1313d317aaaa |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.