Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1484576E16620A3AD94C7DAEDDF39DE90530F40BAB976C6C18ABEC75C9447D80FB06814 |
|
CONTENT
ssdeep
|
3072:LxiobzgXXLTfSfY48ALko62PhyysivULmTbp0l4fNhwhPPLV01QnEoT1LYuLTte8:L/gu/LcOe+tmJ9L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd934a662ca9c99 |
|
VISUAL
aHash
|
00183c3c3c3c3800 |
|
VISUAL
dHash
|
4d7371717971710f |
|
VISUAL
wHash
|
0018bdbdbdbdbd00 |
|
VISUAL
colorHash
|
0e200038000 |
|
VISUAL
cropResistant
|
f8dcacc38e595588,4d7371717971710f,3434b5d4d4353434 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)