Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C9319F6E3E8EEA4B1136BD8F09072915357107ADB45CEC8CA7C55B8A3C1C5C89B79A0 |
|
CONTENT
ssdeep
|
768:UiW2pl6ku1S5WNL/J0Ff7K1bCnSZoqwQNmeB5+lj:cdCSMu96 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3362e6c34349e72 |
|
VISUAL
aHash
|
02646c6e607c383c |
|
VISUAL
dHash
|
94c8d8dcd4f0d0c8 |
|
VISUAL
wHash
|
067c6c6e607c3c7c |
|
VISUAL
colorHash
|
38600010000 |
|
VISUAL
cropResistant
|
d48013138c0e80c4,94c8d8dcd4f0d0c8 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.