Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131D2937160007A3B019383D9B321FB2EA2D3D389DB4A090A53F9975E4FE7E90DD2755A |
|
CONTENT
ssdeep
|
768:QWiPy5Nbifyf0c5lcty59UG7sOy2+y9BH4crIe:QX6MWR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bbc3af802c3c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1f47c3c8c0cccc00 |
|
VISUAL
wHash
|
81f77100000effff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
6480800458988000,1f0fc7cbe0c0cccc |
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.