Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166323332944B9E1B644791CBF670775E21C0C5C69B1626C29EF85B2E7BCACE1ED123E0 |
|
CONTENT
ssdeep
|
192:Xoytv3xpKel3FaOn30eiGmgF5Sf2vlseHx/QgkVbQx5YKHv6mUVIm/g686P37axl:XoOTK8nh3mgaIueR/UVE/fSniZ68ka9l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fc0307f8fe0f |
|
VISUAL
aHash
|
7f3f3f3f3f3fffff |
|
VISUAL
dHash
|
d0d0d0d0d0d080c0 |
|
VISUAL
wHash
|
303030303f007e7e |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
d0d0d0d0d0d080c0,fcf9797d7c3e3f5f,cecbd56767e7c7a4 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.