Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DE121F0C455EE37475785C9ABF16B0B73D1C349CB42194093F883AB9BCACA0CA265A9 |
|
CONTENT
ssdeep
|
96:Tk2kSzeFvMSfuSTCctutUISS8ct7GpTWAwvFoQepXlHFweRXIz/BY4YfGJ:QDSzeFdjWcktUWwTWqXxSzJfuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcc0338bc899d9b3 |
|
VISUAL
aHash
|
ff10f8f8f83c0000 |
|
VISUAL
dHash
|
f2e4b0b2b2706828 |
|
VISUAL
wHash
|
ff10fcf8fabc0400 |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
001a00dad2d2f2f6,e489bac6ce92cece,71f8f8f8f0f0e1e1,28707070505068d0,66a52853b7a58d43,000010100404d2ff,f6e4b0b232706828 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.