Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18152856253485A3F419302C9F7267B3E63A3A0C6E79A050861DD8329EEDEDD6EC334D5 |
|
CONTENT
ssdeep
|
192:t/odRDT50Gr144AgDw0xNUz83JouYtn0F7lPWkzI:t/o735544o0Mzgx00v+kzI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1c3915c356f317c |
|
VISUAL
aHash
|
687c747030707046 |
|
VISUAL
dHash
|
d8d0c8c0e2c082dc |
|
VISUAL
wHash
|
7c7e70703870784f |
|
VISUAL
colorHash
|
38402000040 |
|
VISUAL
cropResistant
|
d8d0c8c0e2c082dc |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.