Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECB265725041D53F029383D16760BF5DA2C3930ECBD45204A7F8679E6FF7D92AC266A8 |
|
CONTENT
ssdeep
|
192:aasi7LGq+Rb4GCdYtZglVcIinEyIbH08zBfcGIEyIqH0HH:aQ7r+oOtGGEyIb08evEyIq0HH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c7cc3067c63272 |
|
VISUAL
aHash
|
e6cfe7f18387ffff |
|
VISUAL
dHash
|
0e3b4c6b0f1c470e |
|
VISUAL
wHash
|
868ba3a1878793e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e3b4c6b0f1c470e,b058d9c9c3d65c2d |
Victim enters credentials into 2 fake forms. 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)