Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CD2B7327100373B52C7C2C9B322F31EA2A39249E6560855A3FD83AD4BD3D95DE3356A |
|
CONTENT
ssdeep
|
768:JScy5NmP6JbsqJ7TxQ+8y7sOy2+y9BH4crIe:/6D8y7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b43adc2ed3a1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c2e2c8cdc300 |
|
VISUAL
wHash
|
00fff0302004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
008080024c888000,9c84c6c2c2c8cdc1 |
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.