Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3F11DE1C454ED3B471386C4A7B66B0B7391C349CF430940A3F883AFABDACA0CB11999 |
|
CONTENT
ssdeep
|
192:QxIwngkbnzH71zMUnMIMp6a926Z34LkMpHn:QxIZkbzbZnpMp62p1MpHn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e61b19e44d1999 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c0825041a0000 |
|
VISUAL
wHash
|
f7f7f7f7c3000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000c0c0c08050418,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.