Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182B2755121085A95C2F34CE894113681B183EB4FC87187B0C6B84E7B1BE6AB577D9FBE |
|
CONTENT
ssdeep
|
384:2/5hXXFJVtROgOfcGyP9bdoV/VaQ6CD1f/qaQ6CD1BLQxxcb14Nbvyn:pVt1fC1FEZTK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad2dd22d59d225 |
|
VISUAL
aHash
|
fffffffffffc0000 |
|
VISUAL
dHash
|
0f0c0d100c083006 |
|
VISUAL
wHash
|
03ffe7cfe7e40000 |
|
VISUAL
colorHash
|
0f0000300c0 |
|
VISUAL
cropResistant
|
0e080c0c100c0c10,0890000812001602 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.