Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA29331A0402A3F1167C3CDB7A2B76DB1A7934DC799181992FC476E8BE7E50C81692E |
|
CONTENT
ssdeep
|
384:nOy5NvmuOVA5lXu/frEs6Bn1aJ85dcwaUMQlHo/xfIYsOy2+y9BH4cCUIe:nOy5Nvmuzs6Bn1aJ85dcwaAlHo/h7sOV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b438fd0e92e3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1cc9c9c3c3cded00 |
|
VISUAL
wHash
|
00f07470001fffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,1c49c9c3c3c3cd6d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.