Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAC2B83171006A3B52DBC3CAB362B32DE2E3824AE756095592FD839D4BD7D54CF6312A |
|
CONTENT
ssdeep
|
768:5Scy5Nm+cOHQ+Q3S5P4b07sOy2+y9BH4crIe:ucs/Z4Y7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c766b43ad529d2c2 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
14ccc6c2c8cdb300 |
|
VISUAL
wHash
|
00f7f2203004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948cc6c2c2c9cd33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.