Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD2B631E0102B3F039783CDBB51F72AE3E38649D646152752B9D35D8BA7E60DA6341E |
|
CONTENT
ssdeep
|
768:PISky5NcpPDFlZXRHdE65Pf927sOy2+y9BH4c1Ie:eFrtiKl27sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f538bd299486 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98ccccdacc2c8200 |
|
VISUAL
wHash
|
00fc7c280604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d0c8ccc8ca6c0c0c |
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.