Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8E264725144AE3B02E383D5F360A71FA6D3C28AEA86061653FD835D0FE7E41DE63526 |
|
CONTENT
ssdeep
|
384:meagJL2TF1h1m12xyGaatWbNasJAtVu+qMwTWfH2AzYndJ8IYsOy2+y9BH4ciUIe:meagiVCaTtrwCf7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243f612cd38b9e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccccc8c0cccccc00 |
|
VISUAL
wHash
|
04fce0200c0effff |
|
VISUAL
colorHash
|
12c00008000 |
|
VISUAL
cropResistant
|
c3c3c18f8fcfe3c3,0c80900458988000,dcccc8d0c8cccccc |
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.