Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C0382716310267603A78AE5F1A5BB3EF0E6C26DC76B8889B3FD42C65BC6C51ED10216 |
|
CONTENT
ssdeep
|
384:ucJuwjSQCYLJgkkw2S9IT/rPhRr9N6WVSbjl+KtZJnEWt0RSPS+SKS7mKiVjn/G4:ucJuwjSmFq/rXp9SDDNahlSKiSK8+h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc95f485f185d491 |
|
VISUAL
aHash
|
ff001810081800c0 |
|
VISUAL
dHash
|
8c31b23030206010 |
|
VISUAL
wHash
|
fff0f8f8b83808c0 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
8000c0ccccd00001,02284627ab9b2402,0c33323030607010 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.