Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E0210E1C558E936035356D8F7B57B0BB3A1C388DF02094063F4836BABCEDA0DA559A9 |
|
CONTENT
ssdeep
|
192:QRhTZY+gZgZ++nzYhhjN/Yl8iI4wyV07T+1+Xwhlc:QRvY+ww++zGjN/E17we07TiHh2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b133cecc3c33c331 |
|
VISUAL
aHash
|
ffefc7c7cfffffff |
|
VISUAL
dHash
|
201a1e9e18001800 |
|
VISUAL
wHash
|
00c7c3c30f0f0f0f |
|
VISUAL
colorHash
|
07003080008 |
|
VISUAL
cropResistant
|
201a1e9e18001800,4c5a1a3a704c7474,9191f1e565c3c34b |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)