Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB5231B55014A53B27B7CAE8E3B2A74BF7908446CC83414AD1F6E35D2BE3D61ED0A325 |
|
CONTENT
ssdeep
|
192:ogo5+B0FnF9OBiqrmwtRstzI7331q2kVG2jplcCglrb1x:cFkIORsFIjU7pbWv/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6161617c1e94 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
1b38303003202024 |
|
VISUAL
wHash
|
80809c80f0f0f0f0 |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
1b38303003202024 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)