Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAD20776E0C8207B00A791C2F726B77BB0B8514CF617A754E9F987A942CACE4D0775D8 |
|
CONTENT
ssdeep
|
384:hBfJ0AFVhGAnWcOEGiQDvHTEMAn8doQ8bTyf4988oGsNa6lxZDV6zk8k:eqVVWigTKyoQ8/yfjTbIg3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a06a97878595cd9d |
|
VISUAL
aHash
|
7f41414f7f4f4f7f |
|
VISUAL
dHash
|
c59d9b9db59d9cdd |
|
VISUAL
wHash
|
7f414141454d4f7f |
|
VISUAL
colorHash
|
06000080007 |
|
VISUAL
cropResistant
|
0d3f133d535b5a59,1fd9d4b4d4b4b4c0,92c8e42000000000,0e2a6573d2523e38,ffff3fbf7d3dffb7,ffff7fff6d6dffdd,ffff2fff7f3ff7d7,ffffff7dafebfbff,ffbfff7efffeffff |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.