Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D94286306211157FC11B4ED5FA747B1961BA614CC3478448E76CEE725BCDCADCDE2298 |
|
CONTENT
ssdeep
|
384:qO3bmi7fihE5JrRI5QSFfigjuZl3DWXmIuWQiG:qO3bt7fkEuTK5Zl3DWXmIuWHG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc883333a7cc9d33 |
|
VISUAL
aHash
|
6779bc3801000000 |
|
VISUAL
dHash
|
cfb3b2334973194d |
|
VISUAL
wHash
|
f77dffbda1808000 |
|
VISUAL
colorHash
|
30600008041 |
|
VISUAL
cropResistant
|
0202027272020202,cfb3b2334973194d |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.