Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161333A736722787C83CB81DDBB392E45B2C1A49DE9870450F6986ADD23C3C8271877B4 |
|
CONTENT
ssdeep
|
1536:ax+EsZ/8ee1O2DTEe+wIMmBxwgMmBLUXx+y9dQyDF1ZAU84HaX0u:a+LvwgwGUXxpDzHy0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8368daf0e4f0fcc2 |
|
VISUAL
aHash
|
3f003d2d2f2f3f3f |
|
VISUAL
dHash
|
e9e9e9cdcdddfded |
|
VISUAL
wHash
|
7f040c05270f3f3f |
|
VISUAL
colorHash
|
000060000c0 |
|
VISUAL
cropResistant
|
00000c0c0054ffff,be7dfbf7efdfbe7d,f9e9e9cdcdddfded |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.