Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E73AA6872209827253BC5D475ABFFEB228AA30FC71E841013ECA3525FF7EB07195464 |
|
CONTENT
ssdeep
|
384:CDE3ECXEV/4NEk/5IuVFodOGHOt7/21g5wyuJQwf7DYZqdOTS1ymmR:S4EV/XgOaysokaO5luJQAXyR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88b1d999ae666666 |
|
VISUAL
aHash
|
1818101818181818 |
|
VISUAL
dHash
|
32b2b031b3b2b2b2 |
|
VISUAL
wHash
|
ffffba1819181818 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
6cccc898f0f0c8c0,333130303213dbc9,a8a8e9ebc3e1e9e1,32b2b031b3b2b2b2 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.