Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8F1965BF105316E0F2201E2AE88A19F97C9018CA7548AC1BCDED03D7364F9695B7ADF |
|
CONTENT
ssdeep
|
192:msMqpPMwZbptPLEgsrsPMMQ0+si6kLFmEQwrZetimzrSON1r:msNtMwZbptPLEgEsPMMQ0+si6kLFHrZG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a425fcdb3528c3d8 |
|
VISUAL
aHash
|
030303039fffdfdf |
|
VISUAL
dHash
|
b6b696b636703634 |
|
VISUAL
wHash
|
0303030307bfdfdf |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
b6b696b636703634,7a929289cd9280d8,9e88bac9c8dc9bbc,c39c27e364e89ca4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.