Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDC2E9729040273F1297C3C97366B72E92E3834EDA89080653FD8B6D1BE7E81ED5355A |
|
CONTENT
ssdeep
|
768:GSXy5N7Khf4jJU1hEMUcmFCowH1R7sOy2+y9BH4crIe:Hhf4jJU121CouR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd32d0698483 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4dcbc3cc4cb200 |
|
VISUAL
wHash
|
80ef21200e06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,1c4dcbc3c3cccc36 |
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.