Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCC1EF3040C6AA3706E39AC926712F1FB3F38398D6121A9563F4C74E4FC7DA8ED16285 |
|
CONTENT
ssdeep
|
96:1BH9aObO1LeOiNgZkgoAVQV39veO5CllxrewRdv+AF3N/dPHP:+LeUtrQzAlZlVdPHP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c71cb929692c3 |
|
VISUAL
aHash
|
9f81dfdffbdfffff |
|
VISUAL
dHash
|
3427343433320000 |
|
VISUAL
wHash
|
9e8092d6591f0f0f |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
3427343433320000 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.