Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7E2A732B0109A3B02E781CEBB617F3D72E78349C686145499ED87F94B93E14EE37691 |
|
CONTENT
ssdeep
|
768:va4ApK1fCuw87SjMvOoSSuA7sOy2+y9BH4c1Ie:1ApA4AASuA7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd3ab038f48a |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
48c0e4c0c8c4c300 |
|
VISUAL
wHash
|
007870706c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c40080024cc88000,08c0e4c0c888c4c2 |
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.