Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A234AB26322B8A843DB91EEB73C3D56B2D1489DF8C74514F5C95A8D23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8K4/DawjMqBwwNMqBpr82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:aE+EsZ/8N/DawjMqBwwNMqBV82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6e95953b9190c2 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
1f67415141000000 |
|
VISUAL
wHash
|
8101010181ffffff |
|
VISUAL
colorHash
|
1e000038000 |
|
VISUAL
cropResistant
|
1f67415141000000,1787e7e4a5b3c381 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.