Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8A2345598415D37001340C4B663DF5734C3624ACE7609852AF443EF7AEFEA96CAE39B |
|
CONTENT
ssdeep
|
192:qSwQaNwIkNYH/fjcOkxqjm4ocU3KnPo0ow8lXR/fSmQLjZTRLD8OP/n54bmCO1+W:qSw3yejc54X54bVfXCfrSa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1e60d12e94f1ce5 |
|
VISUAL
aHash
|
ffffffffef000000 |
|
VISUAL
dHash
|
e98e861f98b9f432 |
|
VISUAL
wHash
|
ffe7ffff06000000 |
|
VISUAL
colorHash
|
07c00000040 |
|
VISUAL
cropResistant
|
d12c8e868c1ab8b9,7372727232323600,01420dd4563cc100,b8b9f9f5fc963372 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.