Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F82FE30711838A706A7D4C4F9607F0A7293E30EC18795916AFCD2990FC7EE1FA165BA |
|
CONTENT
ssdeep
|
384:TkVf5aaZD7IXX8hibAxcT5BmlAg4lGpI6ZgF50WOyfs/uNvI+duKw72ZS79W7Wv/:bXX8cAxcT5BmlAg4lGpI6ZgF50WOis/7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73078adc9383c |
|
VISUAL
aHash
|
007e3e3e3e000000 |
|
VISUAL
dHash
|
cccce8f0f4f09184 |
|
VISUAL
wHash
|
7c7e7e7e7e180002 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d55dc5a4f191f070,7f7fffbf3fcfcf7f,cccce8f0f4f09184 |
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 278 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)