Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A413A5E16602B4BD57674AC5FAA6574E33A444C8EFD68BE0E3B842981B8DD10F4D3C6C |
|
CONTENT
ssdeep
|
768:bFHJHzcN2vmUMubKQ+4XA+WwjEYNvmUlXA+WwjW4cub8XGWwjC15vmUvXA+WwjNL:hHJHIpSCavFXw9d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c6b1c9393cc66c |
|
VISUAL
aHash
|
ffff000001ffcbcf |
|
VISUAL
dHash
|
0c45a7971b1e171b |
|
VISUAL
wHash
|
ffff000000ffc387 |
|
VISUAL
colorHash
|
06202002000 |
|
VISUAL
cropResistant
|
0c45a7971b1e171b,88c3a7ba94b8a4cc,c7c3c78646060d0d,242d6ccccccc2000,0404353131313131,045c585858585858,4ecfcf8f67666561 |
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.