Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15983237063115FFB61D7C2F6AA725BAB73D9C39ECA0BC254A3E9D3051BC2C868D51290 |
|
CONTENT
ssdeep
|
768:0hIULCOMTgojSZPBYE3U71pJSMFYQ2t1RWhbA9RbBn6bS1j6PXPcP9PjP2P0POS8:Rut1RWhbAfbB6bSQDYIe8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0619e13ee15aee1 |
|
VISUAL
aHash
|
0060e042e0006eff |
|
VISUAL
dHash
|
b28a8e8ccc24ca25 |
|
VISUAL
wHash
|
7a40f362e0007eff |
|
VISUAL
colorHash
|
38400000400 |
|
VISUAL
cropResistant
|
0000104d4d4c3008,b28a8e8ccc24ca25 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.