Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2C2A630E110363F5267A3C577A1F31EE2E2928DDA16481943F8875F8BE7E50DE1366A |
|
CONTENT
ssdeep
|
384:2qbe/y5N5umqcTqRE2MgI2jtMqh5nMrZJ0cx/2IYsOy2+y9BH4cCUIe:/be/y5N5S/RRI8k87sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367bc3a8949c599 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
444cc4c2ccccc300 |
|
VISUAL
wHash
|
00e6fe700400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
1080800458988000,d40cccc2ceccccc3 |
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.