Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EC2AA3271006A3B42D7D2D9F361B32EA2E3834AD7860516E1F9839D4BD7D54DB3362A |
|
CONTENT
ssdeep
|
768:VScy5NGSKv5IJ8mE4K9737sOy2+y9BH4c1Ie:2KvEK9737sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc3a9c29d3c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c2e2c8cde300 |
|
VISUAL
wHash
|
00fff0302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9484c6cae2cccdf3 |
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.