Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAC2A471A018773B06A7C2D8B7B0BB1EA2D3814DC74A150553FD836E1BEBE00BE67256 |
|
CONTENT
ssdeep
|
384:ee7fahdLcncd8e5x/7dyULo1UTw5a1H0bIYsOy2+y9BH4cCUIe:ee7fc/Lldjo1na1+7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479630bc3ce5a1 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8c4e0c8c8cc00 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cccc008858d88050,dcc9ccc4e0c8c8cc |
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.