Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A3ED23422935274437C2C4347A6B3BD5A6995FFAE70E010EDC8BFA6BF9C90745A21D |
|
CONTENT
ssdeep
|
1536:VjI/42nY/vIpJSKEq+zS48aQra+Si24wSIIUidnS3UnF/UDrBvh3PnnntrqXUrXY:EUMsJ9d56zl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6cb813c7cf |
|
VISUAL
aHash
|
00002c0c00003fff |
|
VISUAL
dHash
|
0eccc9d969666024 |
|
VISUAL
wHash
|
00243d2c3c30ffff |
|
VISUAL
colorHash
|
39402000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,601002c82c241296,2ec4e9c9d9696664 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.