Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6F1EAB023104ABFF043C774B3A2796E359D7397EAD35B98D2B092D52A52CE8CC552E1 |
|
CONTENT
ssdeep
|
96:rZMXtL/3M8ZhucXdPJQd9BPtMKFR/Ygd8irwZiwZSKWORIeIzDPfubia:rZuM8LuqovtxjrBQIf4ia |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63d34464b35b54a |
|
VISUAL
aHash
|
0707070707070707 |
|
VISUAL
dHash
|
2d6dad4d4dcdedcd |
|
VISUAL
wHash
|
070f0faf67270707 |
|
VISUAL
colorHash
|
020010001c0 |
|
VISUAL
cropResistant
|
8082989496c48280,193487333060d072 |
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 7145 techniques to evade detection by security scanners and make reverse engineering more difficult.