Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA235BB26322B8A843DB91EEB7382D55B2C2589DF8C74410F5C95ACD23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G824VDawmMDBlwZMDBcr82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:a6+EsZ/8RVDawmMDBlwZMDBQ82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ae4c51b9bc48a |
|
VISUAL
aHash
|
8181818185ffffff |
|
VISUAL
dHash
|
0f17151d1d040000 |
|
VISUAL
wHash
|
8100818181ffffff |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
0f17151d1d040000 |
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.