Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F82555621084695C2F35CD898113680B282DB4FC87186B0C6BC4E7B1BE6AB5B7DDF7E |
|
CONTENT
ssdeep
|
384:2ylyZGyP9baQZKHpUgHKuoNlLBnb8vEMOf:aZKpseEpf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a5588d53237c9d |
|
VISUAL
aHash
|
23ffc7e7fffcfcfc |
|
VISUAL
dHash
|
d6960e0c14090101 |
|
VISUAL
wHash
|
00c3c3c33f243030 |
|
VISUAL
colorHash
|
070000001c1 |
|
VISUAL
cropResistant
|
d6960e0c14090101 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.