Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133D2A572F060273F128783C9F791F72EA3D78289D749051952B9932D4BA7E90DE2B41A |
|
CONTENT
ssdeep
|
768:GSky5NfMTIx4PqQ561EeF3f4657sOy2+y9BH4c1Ie:cjjs6O4w7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f53a9d299486 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c8ccdacc2c8200 |
|
VISUAL
wHash
|
00ec7c680604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d8c8ccc8cacc0c0c |
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.