Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1853281B1D014AD3B071781D5F7BA3B1F76B1C308CB060694A2F8533FABDAC51DA265A9 |
|
CONTENT
ssdeep
|
192:4gMLQQpXLeRDx2ztB8iIRdy3gMLJyYQCqvnnUJEDY8tDX:4gMUQqRcztB1KdWgMFymqvnnUWDY8tDX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83c69c7c7969093 |
|
VISUAL
aHash
|
8b818f9fffffff00 |
|
VISUAL
dHash
|
33333b3c841000c0 |
|
VISUAL
wHash
|
01818187f7ffff00 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
33333b3c843000c0,d3d1b1d3f1152f07,d0d0c0f020202020 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.