Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152A2A632A014293F525783CDB762BB2EE4D39348DB4A180953FD5B4E8BDAED0CD0B55A |
|
CONTENT
ssdeep
|
384:rCy5N4UzFVTKqRKBw28GC0ilH5IIIRP48lnyR/MbEmwKVr6eZzciGRIYsOy2+y9x:rCy5N4UzlYC0ilH5IIIZ40nyR/MImwKg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8229bd32d44dd6e3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9fd3cbe3cc0d3300 |
|
VISUAL
wHash
|
003771700407ffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
fffff96969f9ffff,0080801858808000,8fd7cbe1c3cc4d33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.