Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD0341764089613F07A387C9AA31371BA283461ACE939747E7F54B8D2FC6DD2CC6191E |
|
CONTENT
ssdeep
|
768:+6h9REAs6s6B1eT6o4Q373T32i5LJAaF0:DTXXBUTj3zLjug0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be42c172946f6936 |
|
VISUAL
aHash
|
ffff8181818181ff |
|
VISUAL
dHash
|
cd71696d4d5d69b0 |
|
VISUAL
wHash
|
ff9f8181818181ff |
|
VISUAL
colorHash
|
1b0000001c0 |
|
VISUAL
cropResistant
|
cd71694d4d5569b0,baacb28aaaace8d4,004225a6a6a64182,f078e8e494843168 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.