Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E234AB26732B8A843DB91DEF7383946B2D1589DF8C74454F1C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aI+EsZx8/G8S4hDawIMDBFwuMDB+qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAz5W:aI+EsZ/8lhDawIMDBFwuMDBHN2/y9dGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b8cb6e3e39c89c2 |
|
VISUAL
aHash
|
ff1fbf1b00000000 |
|
VISUAL
dHash
|
777373774941d545 |
|
VISUAL
wHash
|
ffbfff9f20001800 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
777373774941d545,a2808036378680a2,f7f3f3d7c8c0c4cc |
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.