Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD2C9356150273F12A3C3D87361B72DA2E3934DCB8A191563FC876E1BE6E80EC63916 |
|
CONTENT
ssdeep
|
768:QSXy5Nmp0P0M1U1BYujEM2JlUCoZoFj7sOy2+y9BH4c1Ie:z0P0M1U13sACosj7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc30d86dc182 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c4dc3c3cc4cc600 |
|
VISUAL
wHash
|
80e771300c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,140dcbc3e3cccce6 |
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.