Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D223B6659209B0620B7A4BF4E87D42171297595FF8B2B0A09D3AF7E634C3FF4AD5E408 |
|
CONTENT
ssdeep
|
768:aPtoc9GuWNZBnofNHpqxdzzb/s6HqqZjispgNmzUmwhE+GnIWnIjiD99jifIAaiO:aPtoc9GuWNZBnofNHpqxdzzb/s6HqqZT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b372cc815ccc99b9 |
|
VISUAL
aHash
|
efe7c7c4476fffff |
|
VISUAL
dHash
|
8c0f8d099d99ee36 |
|
VISUAL
wHash
|
67c7c1c0454f2fc3 |
|
VISUAL
colorHash
|
06200048040 |
|
VISUAL
cropResistant
|
8c0f8d099d99ee36,c749835dc0c51711,0008303232100800,0d070d0781d14d47 |
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 430 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)