Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEC30AB43695F4920AB786D340AF0002B3395D3B101D6D606395ECEA726999EB0F7FDB |
|
CONTENT
ssdeep
|
1536:x4ePlY/AWj3eZGhhTYwYan6rri3AkVG8fv1goD/pH+Bu2:yYWj3x/YmPVvg1Bz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f9ff80f23c007f0 |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
6868606060606060 |
|
VISUAL
wHash
|
1f1f1f1e3e3c1818 |
|
VISUAL
colorHash
|
0e000e00000 |
|
VISUAL
cropResistant
|
f0e0c08000000000,a2aa908c8c8ca2aa,91a12d458515ccc8 |
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.