Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132828871A3F8073F98020F5983A8B675705F65CFE62E5608FAEE163215C4DE6DC642AC |
|
CONTENT
ssdeep
|
384:HsbXnsGg8Uujanu8eJBU2jzUomZ+FbvEeN64Edz4hZK:HsbXns7bJeJBU2jzUoycseN64uz4hZK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6c3919196c663c |
|
VISUAL
aHash
|
00fff7f7ffffffff |
|
VISUAL
dHash
|
3254242c18281820 |
|
VISUAL
wHash
|
00ccf4f4ecfcecc0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
3254242c18281820 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.