Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118C29472A140273F02A3C2C9B352B72EA2D3834DEF85191663FD476D1BE6E50ED6351A |
|
CONTENT
ssdeep
|
768:BSXy5NZYeQHY415fd+0e8gOCoCwbD7sOy2+y9BH4crIe:dYeQHY417+TiCoFD7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d0698583 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3cc4cb600 |
|
VISUAL
wHash
|
80ed31300c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c094bc3c3cccc36 |
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)