Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E2342724140BC36256B86E4FA35753DA299D11BCB0128C6FDA1868ADF82CD36D17EFC |
|
CONTENT
ssdeep
|
768:2xcVzVo54ECMLxX5939sWUmrG58lGjy9lMCmqYo4hE9gk7LEPe/ET:2x0Jo54EC2X5939shmrG58wjy9lMCmqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c698e3366339c6c |
|
VISUAL
aHash
|
0818181c7c3e3e3c |
|
VISUAL
dHash
|
d0b2b2f8ecfcfce0 |
|
VISUAL
wHash
|
1818183c7e7e3e3e |
|
VISUAL
colorHash
|
1bc00008000 |
|
VISUAL
cropResistant
|
a4c9cbc95c5c4ae3,eececececccc6b29,cccc8c8c8c8c6c2b,9c36226dc4cce4c4,d0b2b2f8ecfcfce0 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.