Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8C28371A0006B3F02A3D3C9F751B72EE2D3924CDA4A090587FC8B5E4BE7E61D92755A |
|
CONTENT
ssdeep
|
768:Vqy5NETue4nX2OREjq7sOy2+y9BH4crIe:Aue4a+7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b818c7e79263743c |
|
VISUAL
aHash
|
ff1e8a8e8fd3f3fe |
|
VISUAL
dHash
|
eab4343834173390 |
|
VISUAL
wHash
|
3f1c00868fc3d1fe |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
eab4343834173390,31ba8a9b938a8bd5,ca62337322132a2a |
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.