Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131021FF1E450ED37035389D9A7B66B4B72A1C749CF470A4593F883AB9FDAC60CE11189 |
|
CONTENT
ssdeep
|
192:QonfzD715lt8iIapqwRXdxMaD/xFgm/rOrL:Qonf1XpqwdJFBI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece4139a6ce1b23c |
|
VISUAL
aHash
|
fffff3f3f3ff0000 |
|
VISUAL
dHash
|
0026062627005000 |
|
VISUAL
wHash
|
fff3c3d191df0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1000062626272210,7a0e42625826da02,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.