Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E443E028714C117A03F7ACC4D834BF9A71D3E357C1064768AEAD476A6FCBE6879206D8 |
|
CONTENT
ssdeep
|
768:MKF6XVNKxCtXDWj3Da5I0fGhXDWj3Da5I0fGAQvYaZ8O:MKF6XVNKxCtXqDXqvvYaZ8O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad5dd222c5958de1 |
|
VISUAL
aHash
|
ff000303030107ff |
|
VISUAL
dHash
|
580b3a32a70fcd8a |
|
VISUAL
wHash
|
ff008b030305e7ff |
|
VISUAL
colorHash
|
32000c00008 |
|
VISUAL
cropResistant
|
580b3a32a70fcd8a,f0c083838381c2e4,591a3ab2a7a30d8d |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.