Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143A2F977A0C4192501A336A3FF127DA7D178954DC335E960CDABC68672D0CB8D1BB2EA |
|
CONTENT
ssdeep
|
384:N9+ltQbbAAdWbUCXkgMsNR0VXY0ARMf6vkhOfwxlznz4aEcdzhCOTvPbmG6mNks8:N9+ltQbbBdWJkgFNRYI0YMf6IOfwz4OA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2e64c18b3b3454d |
|
VISUAL
aHash
|
c3f3f2e701100000 |
|
VISUAL
dHash
|
8f27c65d1bb2b2d0 |
|
VISUAL
wHash
|
c7f7f3e781501038 |
|
VISUAL
colorHash
|
01000c00000 |
|
VISUAL
cropResistant
|
3e78e6cedcd4d860,8f27c65d1bb2b2d0 |
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.