Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE037371E1518D3B015392D5E3F2A33A22A9D2C1CE0206B593FC077E4BEAE9CBE57654 |
|
CONTENT
ssdeep
|
384:GabxVFjDXIezQjUGhRsgJZJEYO3yABWlXS0IgZnGrgc6hsQ:GabxV5DXIeoUZgJTb2i4rr6hH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ee3c388bcbb828 |
|
VISUAL
aHash
|
85042c7c2e0e0000 |
|
VISUAL
dHash
|
2d0c48c8cc985801 |
|
VISUAL
wHash
|
8f86ee7e7f0e0401 |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
2d0c48c8cc985801 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.