Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182F1EDF1D054ED3703538AD5A7BA6B0B7391C349CE031A4463F8C3ABABDACA0CE11599 |
|
CONTENT
ssdeep
|
192:QeJ3ngknzD71Uwt8iTJHw5OYMlJ+pxzsq1:Qeakznv1T5w5nMlU8q1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b931c7e62ec6c44c |
|
VISUAL
aHash
|
c7c3cb8181efffff |
|
VISUAL
dHash
|
0a1b1b2b1b1b000a |
|
VISUAL
wHash
|
c381818181c3ffff |
|
VISUAL
colorHash
|
072020000c0 |
|
VISUAL
cropResistant
|
0a1b1b2b1b1b000a |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.