Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBD28371A110273F0297C3D9B362BB2EB2D3824ED689181653FD4B6E1BE7E50DD23526 |
|
CONTENT
ssdeep
|
768:wSXy5Nz39ZjFbv197A65hfyConIFa7sOy2+y9BH4cLIe:G9ZjFbv1R5ICoYa7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd329069c582 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
1c4dc3c3cc6cb200 |
|
VISUAL
wHash
|
80fd71200e00ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
508080106c888000,140dc3c3c9ccc434 |
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)