Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C43847DF0A4553E431BC3FBB0203B68C18FE38ED16B58D8B5FE567526A6CA0944E984 |
|
CONTENT
ssdeep
|
384:PZ0mUYGy6lpRGGl5tJc3ccyLjhD4YIPI0RmidvnNEIFnIuSI/:PZ1UYGPpR3IN2A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e719e5d2b01ae4e1 |
|
VISUAL
aHash
|
ff000000e1f0f0f7 |
|
VISUAL
dHash
|
0c52637307444d46 |
|
VISUAL
wHash
|
ff000001f3f0f5f7 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
201c594949363636,7347054565494746,72c3717173074565,40e8a8e8c891a0da,01a08080c8c88080 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.