Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3234B726722B8B843DB91EEE7383D56B2D1488DE8C74554F5C95ACE13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G8W4rDawmM6BSwtM6BTwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAT:aa+EsZ/8xrDawmM6BSwtM6BTw0N2/y9C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af3f94946bc1c06c |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
6979514145000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
6979514145000000,ffdc799dd0c4c0e0 |
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.