Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A03743DA241AD3B44B7D2E5E3A5636B32D6868AC842131442FDC37D0BE6D9CFD22574 |
|
CONTENT
ssdeep
|
768:31xTLarxeOzcV9/xXwu3bPeHkzgOc/lIhk:31xTDOzcV9/Rcdf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e396bc3938b8c683 |
|
VISUAL
aHash
|
8ffc7c646020c1e1 |
|
VISUAL
dHash
|
3f48c0ccc8cf0343 |
|
VISUAL
wHash
|
8ffe7c6c6800e1e1 |
|
VISUAL
colorHash
|
30008008600 |
|
VISUAL
cropResistant
|
3f48c0ccc8cf0343 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.