Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E73C832D3161403D0AB95C9F1625B4A3351879AC6134BB567F827BAFECDCB53B21398 |
|
CONTENT
ssdeep
|
1536:nhC9PApNX+IPUgOq6hym41+CWa5w72pFoetKP5xezyKSxGNHtzhsWoc1fB6re1I0:xOIPUgOq6Eo/ExbH7ihk222I22222226 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e93c3cccb39388c6 |
|
VISUAL
aHash
|
c181fbefebfbfbc3 |
|
VISUAL
dHash
|
0b2793dadab2d29a |
|
VISUAL
wHash
|
818168cbeb58fbc3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
0b2793dadab2d29a,88d0c8cc2463c7c5,4b6b3198d8d08c4d,6f6b392b2b3323d8,9593e33ce0f080e0,256caca785842667 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.