Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EC32221C6E41333D205078AE3DB7756669BC1C7CCA2B8F8A1708179DBB9D891C77DA2 |
|
CONTENT
ssdeep
|
3072:zGKJrjylK2E6IOZuagKI3ImJS2gcIYLQICeIkPksuGIyIhuBn9+Bs:yKNQ5IBf3NsBs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16bd926a934724 |
|
VISUAL
aHash
|
ffe0000000f1fbfb |
|
VISUAL
dHash
|
cb22624345e31213 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2b22634345e31213,0020d0d0d0d02040,9696969311531b59,8202020606060606,9f8d0d8c8f232260 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.