Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AF285709001A73B029392D263399B1EA3F1D394DE631649A7F9C31D1FE7EA1DD62278 |
|
CONTENT
ssdeep
|
768:W+rEh1us7GWiiYCCUF1fwuSh6k5o2cw1qb1PhA7yiA5iGHH+K0Pm:JrEh1us7GWiiYCCUzfwuSh6k5owSG7y7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e55ab331bc269a34 |
|
VISUAL
aHash
|
0069393142e200ff |
|
VISUAL
dHash
|
8acae9e396d286c6 |
|
VISUAL
wHash
|
00fb7931c26243ff |
|
VISUAL
colorHash
|
0e407000000 |
|
VISUAL
cropResistant
|
46c680a080818300,8acae1eb96d286c6 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.