Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6C154E1C418DD3707228AD9B7F56B5BB5D2C319CB02088493F842EB97DEC60DB25A5E |
|
CONTENT
ssdeep
|
96:TkAczecSTCjGH3/2wvF2eBXrHFseQkXRHFwpeprXRX/CeST5J:QAczeVuGd9hQASkplX2b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee3990c6673939a4 |
|
VISUAL
aHash
|
ffff8b0020bdffff |
|
VISUAL
dHash
|
48b43a4b456129d6 |
|
VISUAL
wHash
|
ffdf81000001bdff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
48b43a4b456129d6,21438f8c9d1d719d,8c9d9f9d9c9d8e43,cf3168ec68e868e4,642c9a2c66c31349,0101010101010101,697333968d9a3464 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.