Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120838432D212140391ABD5C8F1624B4D73928B9AC6134AB577F817BAFECECB5772129C |
|
CONTENT
ssdeep
|
1536:Vct9Up9Ug9UM9U99UeOE1+9uzePEXeRk2KPUgOd61eOtpQjbeEUeeQBSlkg6C2pp:nE5PUgOd6W/e1DiW+2k222I2222222pm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cf476934b094cf |
|
VISUAL
aHash
|
f9a1ffc7c3c3c7c7 |
|
VISUAL
dHash
|
134b8c8caf8f8f8c |
|
VISUAL
wHash
|
8181ffc7c3c1c3c6 |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
134b8c8caf8f8f8c,91d2b2b0a9a0a2b2,43a34be3671b2d2d,d731e8cc6c86c171,2725273727292b33 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.