Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0234B726722B8A843DB91EEF73C3D56B2D1488DF8CB4454B5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G804QDawWMqBFwPMqB8r82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:aU+EsZ/8vQDawWMqBFwPMqBw82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2f3f3e2a2a0a20 |
|
VISUAL
aHash
|
00c3ffffffffcfff |
|
VISUAL
dHash
|
5f0f174d0f3f1f1f |
|
VISUAL
wHash
|
00c3c3efc3c3c3c7 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
5f0f174d0f3f1f1f,ffffff9f9fffffff |
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.