Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A3BB23421534275533C2D530A99B77E2869E4FFAA70B010EECD7F76BEECA0746A149 |
|
CONTENT
ssdeep
|
1536:c3ZRTk9PSGIhIEBa4Muoup0Hk6Zp4+/5pC:Ewlu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be4d3a453243364f |
|
VISUAL
aHash
|
0083ffffffffff87 |
|
VISUAL
dHash
|
9c332f0c2c2c3c3d |
|
VISUAL
wHash
|
00819f8f878fcf87 |
|
VISUAL
colorHash
|
0ec00000000 |
|
VISUAL
cropResistant
|
333b280d2c2c3c3d,0088939c9c934000,3d3d3c3c3c3c2c2c |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.