Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D929732A000273F1243C3D9B761BB6DE1E79189D79A181E52F84B5F4BEAF90C91785B |
|
CONTENT
ssdeep
|
384:p2izy5NR1AARbAnvolIIII1Fnp3fHXmHjeyK5bsMIIIII2ZolW0F5F6S9lBqYwIO:hzy5NRGVvcIIIISa5oMIIIII/9lb07sS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3638321bd3c3cbc |
|
VISUAL
aHash
|
007c00000000ffff |
|
VISUAL
dHash
|
c6c8a6c0d0d4cc00 |
|
VISUAL
wHash
|
62fe30704000ffff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
6352da45d5dc6c6b,cccc00c058588050,c6c8c4e644d0d0cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.