Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119224E63B600CD2A8D9756CCF6C09589451DC386FB3148CAB1A091FF7BC4DF069997AD |
|
CONTENT
ssdeep
|
192:ekg3JUdZhoWcx9McnthWeNWbZfMmUU8VCowy:zZhNfMmUFCoz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333c38ccccccc3c |
|
VISUAL
aHash
|
e7e7c7d3c3ffffff |
|
VISUAL
dHash
|
0c4d0f1696000000 |
|
VISUAL
wHash
|
e0e080c0c0fcfdfc |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0c4d0f1696000000,515351335129b265,0118246179690620 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.