Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4E11FE0C515EE37875386D5ABF16B0B77D1C349CB42094093F883EBABCAC60DA655A8 |
|
CONTENT
ssdeep
|
96:Tk3OkSzeFvMSfuSTCctu8f6SS8kz5Ft7ULwvFNQeRXaHF7exXsz/1YPYfGJ:Q/SzeFdjWck8fgzrCW00azNIuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d9ae2901aeb8da7 |
|
VISUAL
aHash
|
ffff3b1d1b1a0000 |
|
VISUAL
dHash
|
b4c4737372b2c6c7 |
|
VISUAL
wHash
|
ffff3b1d1b1a0000 |
|
VISUAL
colorHash
|
07600008000 |
|
VISUAL
cropResistant
|
bcd467737172f2b2,ea993978f4ecc8d0,b9e3772e6e8f8f86,f979793c3d190666,47737372f2b2cfe7 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.