Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D29532B100273B02D3C3D6B751BB1AA2F38289EA56091542FDC35D1FE7E54EE6356A |
|
CONTENT
ssdeep
|
768:P/y5NITSb/m4bN6Fcni7sOy2+y9BH4cLIe:PSDKZ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c707843ab139fcca |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dce8644a4860c500 |
|
VISUAL
wHash
|
007f3020ac30ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
e400c02030808000,5cc8e44a48486042 |
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.