Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C02FE726104ADB70183E3E5E774E72F7A8AC349CA932686A3F9974D0FC7C9ACD51214 |
|
CONTENT
ssdeep
|
96:jYhebPzxCvHDwxh1O7VQoBO4vRlvvWYBvlPdriRJoTON4btDtP3p2:jYhwYPs1OQ4vRlMRJoTlzo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeeeeec411113133 |
|
VISUAL
aHash
|
f0f0000000000000 |
|
VISUAL
dHash
|
2424588000000000 |
|
VISUAL
wHash
|
f4fc047c00000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
4c4d4d4d300c4c00,2424588000000000 |
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)