Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CC2C871A114673B02A3D2C9B3B1B71E62D3424ED789191553FD837E0BEBE00BE6716A |
|
CONTENT
ssdeep
|
384:ze4FJNDBX5ZdTCaEnn0F61p1BaGnSIYsOy2+y9BH4cCUIe:ze4F1fNk1rBaF7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3029638bc3cf5e1 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8cce0c8c8c800 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9ccc4c0c8c8c8 |
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.