Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115C28671A1042A3F0297C3D9B761B72E92E3834ED685081653FD875E1BFBE50ED2351A |
|
CONTENT
ssdeep
|
768:SSXy5NGMiZ03mU1dC5wlR/CoT07sOy2+y9BH4crIe:0iZ03mU1fHCoT07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd12d1698482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3ec4cb600 |
|
VISUAL
wHash
|
80f571300c04ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1409c3c3c3cccc36 |
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.