Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A021DE1C454ED3B075386C9F7B5AB5BB3A2C385CF06094463F4836BAFCADA0CA11599 |
|
CONTENT
ssdeep
|
192:Qcj0j/8z4S698iIsdY6jJKc3FwYXY3jmMU7N4v:QcYmi91te6NKcuCMeNE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3e31e9e12c94ccc |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
080a060e0c0c0000 |
|
VISUAL
wHash
|
ece0e0c0c0c0ff00 |
|
VISUAL
colorHash
|
07603000000 |
|
VISUAL
cropResistant
|
080a061e0e0c0800,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.