Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5C1743370422337022B9AD8649BE7C470A5D14DC1583925BBEC96FA46EECD8B16FA43 |
|
CONTENT
ssdeep
|
96:T1uFkswUQauzrGRfoBWvW4n7xHfEM+uzqQ/elK43H8jXYo9+7eITqZR9:x4QWHugx/ZqQEKuWYv7D43 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbe665d934339831 |
|
VISUAL
aHash
|
387818003c3c6018 |
|
VISUAL
dHash
|
e0e068686071d4d0 |
|
VISUAL
wHash
|
7c7c3c3cb8bc7810 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
ffffffcfcff7ffff,e0e068686071d4d0 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.