Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8C2B632A0002B37429793CEB372672E51E3434ADB46066A92FD83AD17E7D54CEB752D |
|
CONTENT
ssdeep
|
384:H4QepZxxRIRGX5nYCGsGVRxynxeMyAWGg7sRipDJ/j1IYsOy2+y9BH4cUUIe:YQepZxTkRo+AWTZR7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c246dd3a9139b999 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98ccc0c8cdcd8300 |
|
VISUAL
wHash
|
0c7430007465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccc4c8c8cdcd83 |
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.