Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD32221C6E41333D205078AE3DB7756669BC1C7CDA2B8F8A1708178D7BAD891C77DA2 |
|
CONTENT
ssdeep
|
3072:U1Xep+YQ1iZsKJrjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvTzqV:U1Xep+YQ1wsKNQ5IZf3NfzqBGg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926a93472d |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
4f22624345e31212 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2a22634347e31212,00020dd4d4d40304,9696969311531b59,8202020606060606,1f0d0d0c8f232264 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.