Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DC153338510D81A1ABAE18CEBC1E1C8D152C24BFB3165D2B2C8616F6EC0FF4A59632D |
|
CONTENT
ssdeep
|
96:Mr7dZmlCPaR1sYYfMmORR1E8VConkgEITDpoTnl:Mr7dZmjdYfMmUU8VCokgbC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88dd227da8d5a2d5 |
|
VISUAL
aHash
|
ff187e1818000041 |
|
VISUAL
dHash
|
b271e8b2300e86c5 |
|
VISUAL
wHash
|
ff007e18bcff4041 |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
b271e8b2300e86c5 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)