Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E2647161146B3B02E7C3E6B360A71FB3E6C28DDB86161243F9835D0BE6E40DE6751A |
|
CONTENT
ssdeep
|
768:ZeaUlv5IdmxQzP6i8F7sOy2+y9BH4cLIe:GlOdOQ7X47sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243f512cd38bce9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dccc48c0cccc0d00 |
|
VISUAL
wHash
|
0cfc2038040effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880880458988000,dccc48c0c8cccc2c |
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.