Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B4322B4279216BB51C7C6E1A264AB1EE2E9C689C517C749F2FD824B3BC7C02CE51364 |
|
CONTENT
ssdeep
|
768:83VadE9MbXRc9n9lFBzTK2N94XMhqx0Gi6PfLm1rgH4G:5bqJXC2r2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a995d639213fd682 |
|
VISUAL
aHash
|
ffffffc381818181 |
|
VISUAL
dHash
|
e897cc1f3b2b2b07 |
|
VISUAL
wHash
|
ffffffc381010100 |
|
VISUAL
colorHash
|
13008000e00 |
|
VISUAL
cropResistant
|
e897cc1f3b2b2b07,365757574f431f0e |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.