Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114C2B67251002A3F11D383C9B351B72FA2D3824EDB46091697F9876E1FEBE90DD2395A |
|
CONTENT
ssdeep
|
768:dHy5NRsEbvgp63U+dFRlrUDZ27sOy2+y9BH4cLIe:BEY635NU27sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc12c7ed923839b2 |
|
VISUAL
aHash
|
3e10068ecff3f3fe |
|
VISUAL
dHash
|
e0f41c3c3c33b798 |
|
VISUAL
wHash
|
3c00048ecfc1fbfe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e0f41c3c3c33b798 |
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)