Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD0397F06610655D16D3E7E9D737AF72629A90BAF52A434DC3E98E4C16CAFF0C841A20 |
|
CONTENT
ssdeep
|
768:yX9IuRgepG5U8TbdasbrYXvrUu+gneFzuoNcgyZqh+SUDEK/d24DXB:yX9IuRgepG5jTbdadXzUu+gneFzuoNc9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74319acb8bcac93 |
|
VISUAL
aHash
|
810000ffffffffff |
|
VISUAL
dHash
|
1fc8c0044c96860a |
|
VISUAL
wHash
|
000000ffc3c3ffff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
00333388841b18c4,830084c4c4848083,14300c4c96440812,20d0d7e0c0f8ccc3 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.