Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFD29672A010273F1297C3CAB751BB1AF6E2D2C9EA4A090942FD834D4FE7D50DE63526 |
|
CONTENT
ssdeep
|
768:v47/y5NJglU6MqHhow0+4erfE21jhPNCXzCCcupLeygCp7sOy2+y9BH4crIe:cH5U7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c723843af168bcce |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dcc84e4a4868c500 |
|
VISUAL
wHash
|
007f30a0ac20ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080803030808000,5cc8cc4a4a4868c6 |
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.