Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0E2B772A1006A3F4197C3D9B3A1BB2EE2E39389CB47150553F9835E4BE6E40DE23567 |
|
CONTENT
ssdeep
|
768:WTy5Nog7VhwRstG3Rt4Bgf7sOy2+y9BH4crIe:bnwRfBt4BO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c365b13bed06cc98 |
|
VISUAL
aHash
|
000060200000ffff |
|
VISUAL
dHash
|
84cccce07040dc00 |
|
VISUAL
wHash
|
00e4fe701020ffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
5838008858588050,9ccecce46070c0dc |
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.