Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF2254F0C054EF3B435381E9A7B5AB5B72F2C294CE06094453F483AE5FCACA0CE25999 |
|
CONTENT
ssdeep
|
192:QGulIzYEnxwcUZz8iImwE6GoqnLdX6Iy9LCzY:QGu8bxwcm1jwhaByLCzY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4439b199967e4 |
|
VISUAL
aHash
|
fff3f3ffffffff00 |
|
VISUAL
dHash
|
4824243430400000 |
|
VISUAL
wHash
|
858380800f6f0f00 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4924242430040000,332373db6363633c,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.