Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2021F326544ADB70183E3E5E775E72F7A86D349CA932682A3F8974D0FC7C9ACC91204 |
|
CONTENT
ssdeep
|
96:QPKzfbPziCvHDwoh1O+VQ5xBO4vRlQvOiBvlPyRJoTOOSyt20W5P3K2:QPO/bPn1Ow4vRlPRJoTunX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeeeeec011113333 |
|
VISUAL
aHash
|
f0f0000000000000 |
|
VISUAL
dHash
|
2424588000000000 |
|
VISUAL
wHash
|
f0f800f800000000 |
|
VISUAL
colorHash
|
38002000000 |
|
VISUAL
cropResistant
|
4c4d4d4d300c0c00,2424588000000000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)