Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD5294734081182F4972C3E6FA317B2AF1C3928EC6234F12A3F9429D8BC5D91DDB2659 |
|
CONTENT
ssdeep
|
192:hC8TvO8MhrScZwM0xBwi2DJNbykNkZeQeWepeiMDeeeh:hC8Tm87cZx0nkQeWepefeeeh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a669269b99669996 |
|
VISUAL
aHash
|
87c3d3f3d7f787f7 |
|
VISUAL
dHash
|
252727272f2c2d2d |
|
VISUAL
wHash
|
8783938187b78797 |
|
VISUAL
colorHash
|
07041200000 |
|
VISUAL
cropResistant
|
252727272f2c2d2d,6969e0f8e8f86851 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.