Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A7375B601466A3F109342E28328D359D3A6D209C7A7C95AD7E843AF27C7DE0DE371B4 |
|
CONTENT
ssdeep
|
1536:GVe2O3eDcwk0O40FOTxyb0DBGYVPiM0ZxVuz8Fu:ICacEP0Fu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e850a6be346eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94d38b131833271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,1455a92b47c7d2d2,38789d9c8c8c8d8f,212d4f4a35b5dadb,b126729db14b4b4f,82a28ecccc8ca282,8512382727008606,8c83d3c98b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)