Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8038631A158993AE19782E5E7A233BF31F7939DC94E0114D2FD83B45BC6D89EC2A1D0 |
|
CONTENT
ssdeep
|
384:UkZYQEuyTnAkFX2p0xOSMK7NFnfbQiRRbXcLbtvgUdSIfVwL6vPamEyrkLT5:UkZYQS2WxOvxUyPamtrkf5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d73c3910be55c1 |
|
VISUAL
aHash
|
80707e7c68601301 |
|
VISUAL
dHash
|
1c46c8c9d8c27371 |
|
VISUAL
wHash
|
c6f27e7c68603f01 |
|
VISUAL
colorHash
|
38000000680 |
|
VISUAL
cropResistant
|
1c46c8c9d8c27371 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.