Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127A2C8345381153F256B8BF8F162771AA1EACB4EC65B8949F3EC839723C6C54ED72290 |
|
CONTENT
ssdeep
|
384:oqABFj/tqd8cgKled8cB6KMDuFRCEGg8Tz2COwefM/yrOq/Lb55/f:oJ1/tqiKleH6KauFRzGg8Tz0JfiyrOqX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9391e66ccc62d56c |
|
VISUAL
aHash
|
ff0f0e0c000000ff |
|
VISUAL
dHash
|
0dd858d892da2d0d |
|
VISUAL
wHash
|
ff0f0e0e0a0c81ff |
|
VISUAL
colorHash
|
03200000c00 |
|
VISUAL
cropResistant
|
4d0859585858583d,e001038002c0f03c,5edf2f2d2d004d4c,585858b99258da2d |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.