Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169D2C831E0102F3F128783CAF751F7AEA2D3824BD645161A82F9935E8BD7E90DD2355A |
|
CONTENT
ssdeep
|
768:PnSky5NPZmycHQpoG0E6KfVGDnC7sOy2+y9BH4crIe:EcwOQn2C7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f43a9d28dc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc8c8cc2c8300 |
|
VISUAL
wHash
|
00ec7c680e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc8c8cc2c40 |
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.
Pages with identical visual appearance (based on perceptual hash)