Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105235B72A332B87843DB91EEF7382A55B2D2588DE9C74554F1C95ACE23C3C806193BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8kB4rDatNM7BRotMM7BRkwZUcix+y9dQpUDF1E56ITmHDLBABW8KP4:aJ+EsZ/8kyrDatNM7BGtMM7BewZUXx+L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac0c2c3773274 |
|
VISUAL
aHash
|
fc9f879fbf8fdfdf |
|
VISUAL
dHash
|
49353d7961393637 |
|
VISUAL
wHash
|
a48f8787df818393 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
49353d7961393637 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.