Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBB2827170807E73011759D6B6E7A79B61F7C349C6A21104A2FC83EA0FF6CE4EA1764A |
|
CONTENT
ssdeep
|
384:mvzxbwZGalXYvVEqI5IKcEhE2g3DDtjREfBh5Q:uxcZGz/I5IK1hQTDj0hS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6db0cd929696 |
|
VISUAL
aHash
|
00000e6e2e0e0e00 |
|
VISUAL
dHash
|
c61ceccccccc9cc3 |
|
VISUAL
wHash
|
020e7e7e7e7e0e01 |
|
VISUAL
colorHash
|
31000030001 |
|
VISUAL
cropResistant
|
fae3e3c4e4a05507,a94b92e7e6d62569,1b1b2ab4b4adc5d5,c61ceccccccc9cc3 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.