Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17BC3A671611A117F4877C7E126F9DF75A2E2A0EAC5A3474482FBC77907C9C02DC8E6A2 |
|
CONTENT
ssdeep
|
3072:lqs9fLaEWQA8TBbJxbbDpmVfxjuCH3s5t4XHJ/mX1toC2tKYQX0qT8wdj3V/Tl5m:lpfWEqI7optM0qT8wdA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c3383838aac7c7 |
|
VISUAL
aHash
|
092c702c04000000 |
|
VISUAL
dHash
|
394848485c000000 |
|
VISUAL
wHash
|
ffff7e6e6e000000 |
|
VISUAL
colorHash
|
38200038000 |
|
VISUAL
cropResistant
|
d1c9ec24b6dabf9e,394848485c000000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)