Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1090298ACD269A823556181D0D8AB6BEE31408F09D3572B2457BCC133BECAD9FDC162F4 |
|
CONTENT
ssdeep
|
192:SZof+1JUaF1lyJ+x/2XH7Ok1R4ydXOunjQ1VRyu5Ij0/:EooiOUJ+ly5RpgzP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c73c33748c73ac |
|
VISUAL
aHash
|
2c7c7c7c64651b00 |
|
VISUAL
dHash
|
c9c9e9e1cdcdb34b |
|
VISUAL
wHash
|
6f7c7c7c64650f00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c9c9e9e9c9cdcbb3,8013e4c4cc31c44e,8ed890a9997634ca,c61959794918030b |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)