Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174633523D3531902A0BBC1D8F072478D2251868DC7574B79A7BD63BAB9CFDB63612398 |
|
CONTENT
ssdeep
|
1536:y8oomMJK0e3eA+pyzEf0Q57rl4pTMxHweIC6ee9deee3dxVfs8HK58ah1apW1eSt:3mDU57rl4p+Pffq1aHQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26d6c2b939294ab |
|
VISUAL
aHash
|
0000747c6c7c7e7c |
|
VISUAL
dHash
|
cba6ccdcccccccdc |
|
VISUAL
wHash
|
00007c7c6e7c7e7e |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
cba6ccdcccccccdc,499964f1312e2b22,a619f60d2d039a03,a619f60d2d039a43,33b5c5d614d55d11,e619f60d2d0b9a61,a619f60d2d0b9a61 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.