Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175234B726332B8B853DB91DEF7382A05B2D2989DF8C74554B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ad+EsZx8/G80549DawQMLB6woMLBkUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:ad+EsZ/8069DawQMLB6woMLBkUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af95b1d0d8c0f295 |
|
VISUAL
aHash
|
a581819999818181 |
|
VISUAL
dHash
|
4d736571716d7171 |
|
VISUAL
wHash
|
ff83919999819999 |
|
VISUAL
colorHash
|
31183000000 |
|
VISUAL
cropResistant
|
4d736571716d7171,0208104c4c4c3002,8b636e7070646868 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.