Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C3399B06012A97B85E7E6D566B94B1F32E1928ADF9352425BFC839C0FDBD94FC12402 |
|
CONTENT
ssdeep
|
768:iIOIj0c44Qw9X6IQLHXKq6FpHRldGeQUf79W:YIj0c44Qw9X6IQL6q6FpHRldGm79W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ead187bf988ab083 |
|
VISUAL
aHash
|
ff0040981101313b |
|
VISUAL
dHash
|
808481b1356161e3 |
|
VISUAL
wHash
|
ff60c0d99191317b |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
808481b1356161e3 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.