Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F952F8B143C5E6B8F042C7E4C73A763931A700F99B4AC324C7E59BB891A69CDDC6B494 |
|
CONTENT
ssdeep
|
192:5z2CzU+eJyO9ceQsu64pP3zVMZl/R4HX3xB4LMvnxYrlKL3M2o:BjC1Asu/pPY/R4HRB4QvxwyMZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b326666699cc33cc |
|
VISUAL
aHash
|
e7e7e7efefe7f7ef |
|
VISUAL
dHash
|
4c4c4c48484d0c48 |
|
VISUAL
wHash
|
e0e0e0e8e8e0e0e0 |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
4c4c4c48484d0c48 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.