Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123039E30660835A7527794C0B830BF5931A3E35FC14784A46BBDE2650FD7EA1FA1A4BB |
|
CONTENT
ssdeep
|
768:d2xMhuXRqtZAxcT5BmlAg4lGpI6ZgF50WOis/uNvI+Rw72ZS79W7Wv77u7U17xYs:d2xM0XRqtZAxcT/mlAg4lGpI6ZgF50Ww |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73078adc9383c |
|
VISUAL
aHash
|
007e3e3e3e000000 |
|
VISUAL
dHash
|
4ccce8f0f4b09184 |
|
VISUAL
wHash
|
ec7e7e7e7e180002 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d55dc5a4f191f070,7f7fffbf3fcfcf7f,4ccce8f0f4b09184 |
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 284 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)