Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C5496F596802019516369CFB577778F3BCBD939C607ACA552B8C7E39AC9C8C8508B83 |
|
CONTENT
ssdeep
|
6144:ikwcEQI+LLLgWS6cHc4o/LQQufT0R/67+0f/m:9t7QQufT0o/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4c47133974e6c3b |
|
VISUAL
aHash
|
007e383e3e381000 |
|
VISUAL
dHash
|
cccca0e4e8a0a0d4 |
|
VISUAL
wHash
|
427e7c7e7e7c3000 |
|
VISUAL
colorHash
|
30008400400 |
|
VISUAL
cropResistant
|
98ba99d6242109c1,cccca0e4e8a0a0d4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.