Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDF22C33F254AE33426342E5F095B2DAB38E651ADBD54D50FFDC85BCB3C28AA4931198 |
|
CONTENT
ssdeep
|
768:F/xdBB5xhCiW26ku2S5Wxf/J0FJW/xdBB5xhSIGG0Wl+RAemRV1VzihyLJbv:h6kj2RAemRV1Vzih2Jbv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc4543ac3c1b1bb2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
80c0482036332f2f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
d8a7b29a96d649b2,6c93a563323a188b,2636300323382f2f,c04032c0d0c82020 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.