Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168339621631C183EB51B8798F7A5B734417A92CAC21E602CF4BD12721B86D99FCBB7D4 |
|
CONTENT
ssdeep
|
1536:E2WwAnHE0W4jDbZJN2WwAnHE0W4jDbZJr:o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3217331339c9a9c |
|
VISUAL
aHash
|
c3c1fecfdec7fec3 |
|
VISUAL
dHash
|
1e0e3c0c1c083c0e |
|
VISUAL
wHash
|
c0c0eec0eec2fec6 |
|
VISUAL
colorHash
|
07001208240 |
|
VISUAL
cropResistant
|
1e0e3c0c1c083c0e |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.