Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E4222B19059A53B1263C6D9F3B2E75AFB818189C987414ED1F5E35C2FE3DA1EC0A321 |
|
CONTENT
ssdeep
|
192:w8daG03hnFbOB7/y6twtWgpdJug9jjsfhNpiA35cTBrhW4:l0G03hFCB7zUWgcUAplIBdX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6161617c1e94 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
3b38303003202024 |
|
VISUAL
wHash
|
80809c80cfcfcfc7 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
3b38303003202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)