Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E2340736084697B02D386C6A6717B0FE2D6D249DAA71A06D3F8835C57C3D80DF33A62 |
|
CONTENT
ssdeep
|
768:Bbxw+IlVvLgHRIRu+pL8CpLopzZHxFkREBNhBK+P8cVx3L:xW+IAxgpL8CpLopzxoCBNP5P3Vl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
beddc9a132262ec1 |
|
VISUAL
aHash
|
ffff87878787fffd |
|
VISUAL
dHash
|
78302e2c0f2f4e79 |
|
VISUAL
wHash
|
fc8e828783019fbd |
|
VISUAL
colorHash
|
06400010000 |
|
VISUAL
cropResistant
|
78302e2c0f2f4e79,96920642888c8286,6d74680a0b59b1e5 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain