Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4839D308260166549D39740FFF2938F42349355CAA31DDEE7E8832B7B8ADDCCB16966 |
|
CONTENT
ssdeep
|
1536:27YfsSQSrMdMeLkSTzdldy1y/xE783H/5hGiLCKRfGKXH4nwEEiGLq:27YfiLdTG/783HVTZ+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c914a633b3ccc9bc |
|
VISUAL
aHash
|
660018180808ffff |
|
VISUAL
dHash
|
8414b3d0d8d0b300 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0004104c4d1c1000,e8cc8e9e9b2aeefe,9b1ededaf8c933e3,b2b2b2d720008060,9414b2f0d0dad8f2 |
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 267 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)