Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13373417D02826A3F114381E2461DE75DA38AEE0BCBA3194697ECC31B6797DE4EC2517C |
|
CONTENT
ssdeep
|
1536:zlp/tujD2jclz0OfLQmQ0b0ER0Drx5+K8QE:v8X8DE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2522cbe96d4b6f0 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
c4c3c8d0cccc239e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23479e,84e9c98bc8c8d4d4,4505696969690149,dbd44d4d98c9c9a0,4145497171514500,886c5f94d42e2244 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.