Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E234B726722B8A843DB91EEB73C3D55B2D1489DF8CB4414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G8y4VDawQMDB3w/MDBYw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:ai+EsZ/8FVDawQMDB3w/MDBYwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b91c46e90946e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d45414145000000 |
|
VISUAL
wHash
|
8101808081ffffff |
|
VISUAL
colorHash
|
1e007000000 |
|
VISUAL
cropResistant
|
4d45414145000000,c084d0c0c0c0e8e0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.