Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0B28671A010673B42A3C2C9B7E1BB1AA3E3814DCB4A191553FDC36D1FEBE10AE27556 |
|
CONTENT
ssdeep
|
768:Ue43q4jmHdAvVrLs9JY7sOy2+y9BH4c1Ie:eQ9oPs07sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069431bd3cbcad |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c4c8c8c8c800 |
|
VISUAL
wHash
|
027c3c206064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,94c8c0e4c8c8c8c8 |
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)