Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F333C7E1D1D276371073E0D17BAB5F2952F1A18EC9DA090A82FC7AF5A6CCCA0B42754D |
|
CONTENT
ssdeep
|
1536:PpLfgMWBaYgDLHPZIep/aSjSkScv92vUxzwUWAnwR2vYt4L:PpLfgZ/gDLHPZIep/aSjSkScvznwc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912f3e6c6e96c191 |
|
VISUAL
aHash
|
00007e387e7c7e0c |
|
VISUAL
dHash
|
e0dcd8e8d0c8a8b8 |
|
VISUAL
wHash
|
00007e3c7e7c7e7c |
|
VISUAL
colorHash
|
39c00000000 |
|
VISUAL
cropResistant
|
cc8e9111534e0913,a1f171f97978e465,7cffedc7d6c6761e,f4fcf8f83a98de9e,c43830125859cb4f,d8595bdadbdad2d2,a9ce8e989c949486,5f3759090080b0b0,66eccdc1c1e1a286,c2c6c6e2e664f2e2,9dbc9e9ed65949a9,e0dcd8e8d0c8a8b8 |
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 166 techniques to evade detection by security scanners and make reverse engineering more difficult.