Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F60201726544ADB70183E3E6E770E76F7686D349CA932786A2F8974C0FC7CAACC50214 |
|
CONTENT
ssdeep
|
96:+UGfGZGOGrSGHbPz2CvH0xhnOjVQxBO4vRlXvC+BvlPJGfnGwRJoTB0VSmP7tclc:3GC/t2PPUnOX4vRl9s1RJoTGPxvP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfcf616565648e30 |
|
VISUAL
aHash
|
003c3c3c00000000 |
|
VISUAL
dHash
|
4869696996600000 |
|
VISUAL
wHash
|
ffffffff00000000 |
|
VISUAL
colorHash
|
31007008000 |
|
VISUAL
cropResistant
|
9392104000020301,4869696996600000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)