Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17743F9722528A43E197746D293087B0EF1DA804DDF5926C0B3F7C2E827CBEA169F1756 |
|
CONTENT
ssdeep
|
768:Eu+50CM50A8toML7P0x7AX8+8EgY4oWCt49tiJwAKaMU9ug8StJP2ZPAZIWTR/ZN:Eu6P9XbVMU9uytJP2ZPAZIWTR/ZGk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f171caca624a5b4b |
|
VISUAL
aHash
|
00c3c3c3c3ffffff |
|
VISUAL
dHash
|
8c16969696401654 |
|
VISUAL
wHash
|
00c3c3c3c3c7e3e7 |
|
VISUAL
colorHash
|
0e000000e00 |
|
VISUAL
cropResistant
|
9696969696501654,8098d39cdcd39820,47d8c8ead2bab271 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.