Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9C2B831A100263B0197C3C9B761F72FE6E3C289DA5A091552FCDB5E4BE7E90CE2751A |
|
CONTENT
ssdeep
|
768:PSCy5NCrf5ef5xK7aHsHajHD7sOy2+y9BH4crIe:xf6Owj7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3ad829c3c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c2c0e8c9e700 |
|
VISUAL
wHash
|
00bd7030340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1c09c2c8e0c9c9e5 |
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.