Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D42C832A4009DB315A3D3E6EBB0D71F3686D748CA931287A7E4975D5FC7CAACC91218 |
|
CONTENT
ssdeep
|
192:JkRLrxB9TbA1O7gc4vRlhRJoTgdURvUpg:OxsUvUy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc1140673bbe3e |
|
VISUAL
aHash
|
f0f8fff0f0f00000 |
|
VISUAL
dHash
|
8484242484a41800 |
|
VISUAL
wHash
|
f0fffff0f0f00000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
8484242484a41800 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.