Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A21CEB08226BD728A22D1E426F1D39772D5C358CF87074526E9879C4FCFC90DE04AC0 |
|
CONTENT
ssdeep
|
12:hV5n3MyLpAqTlFEE7846iGTKEX/M7BdjLYY6ceLpVBfTsAgWXlADlJawHKRJHrUO:h7cOp1n1784oMnNuBrH2iyYpAGVbFPBf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f72233339999998c |
|
VISUAL
aHash
|
e4e4f8e0f0f8f0f8 |
|
VISUAL
dHash
|
4c4c300800000000 |
|
VISUAL
wHash
|
f8e0f8f0e0f0f0f0 |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
4c4c300800000000 |
Victim enters credentials into 1 fake form. Form data is captured via JavaScript or backend submission and transmitted to attacker's server for account compromise.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)