Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EC2B931E0042B3F41A7D3C9B312F32EA2D392CAD786090552F9976D4BE7E94DD2752A |
|
CONTENT
ssdeep
|
768:V+e/y5Ns9CJNC7g31muPm7sOy2+y9BH4crIe:mNp1I7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f83a990cc583 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cc4c6cccde300 |
|
VISUAL
wHash
|
00eefe202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6cacccde3 |
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.