Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F235CB26322B4A843DB91EEBB3D2D55B2D5489DF8CB4410F5C95ACD23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aG+EsZx8/G8C4CDawrMDBPMwJMDBPFr82+/9dtZkDieE565TmHEnkvdhfVPqDv3n:aG+EsZ/8VCDawrMDB0wJMDBh82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6bc4943b919427 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5d4949595f200000 |
|
VISUAL
wHash
|
8180810181ffffff |
|
VISUAL
colorHash
|
1e002000058 |
|
VISUAL
cropResistant
|
5d4949595f200000,9c07c888c9899d8f |
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.