Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190C28472A0107E3F42D7D2C97652F72ED2D3838DDA9A080256FC575D0BA7FA0CA17626 |
|
CONTENT
ssdeep
|
768:oDy5NjDOeVVQLWlP0uL7sOy2+y9BH4c1Ie:LOuWLUP0uL7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53acc2c90cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4942e0c9d98d00 |
|
VISUAL
wHash
|
80ef3030140cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0e4d4ae0c0c95909 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)