Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1438274719200EC37619295EAA73B871A73D2C249CB234B42D7F6E35F9BD6D42CC6224D |
|
CONTENT
ssdeep
|
192:drjGk6X2/JXJ11d16aymZ48qymZJnvZymZjYpymZzHgjymZ8VH0TymZr3uymZmE3:dfQ2d1ckf4RYCoh1dAAs6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e536c699988e6596 |
|
VISUAL
aHash
|
e7e7e7c3c3c3ffc3 |
|
VISUAL
dHash
|
0d4d4d1616160a86 |
|
VISUAL
wHash
|
01e7c3c3c3c3e3c3 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
0d4d4d1616160a86 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.