Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197C27671A154673F03A7C2C9B3A1B71E63D3824EC74A191153FD836D4BEBE10AD272A6 |
|
CONTENT
ssdeep
|
384:Ke7v2RR52CM/sTmDGFdw9QV/5whCF60pIYsOy2+y9BH4cCUIe:Ke7v2ZPdw6V/yhCFT7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3039638bc3cb5e1 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce4c8c8c800 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
cc00880258988000,d4c9ccc4e0c8c8c8 |
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.