Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116432BE93954B5061B7290D3B0AF3A5BF33A246F650C59F07060DEE970B84A9507BF8E |
|
CONTENT
ssdeep
|
768:xyWu/P5uyWz/u8C1vWs9Z1D58n+zvPbFUWSfUNqbLx9X8USiPu6XJgmTTTpSxHy7:iZVyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b947c47847303b7a |
|
VISUAL
aHash
|
7f9f8f8f898fcfff |
|
VISUAL
dHash
|
c4793b1a3b1b3ca4 |
|
VISUAL
wHash
|
000f898f888f8fff |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
c43b1b1b3b1b3c24,00000c7071792814,37199999999d93cf,4585587072220c21 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)