Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AF13F7020188E3706A3A9E4B3B99F0B71D5C354CE57260657FCA3AC1FEBC92DD16661 |
|
CONTENT
ssdeep
|
96:I6LEHjDOSF4SaRqlNPwrk7uT+CwSsL5+g7HDEkc5JAz8ID/3fFf1c:I0ErF/fzwrguTpy5+QDEkeAJ/tf1c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc2633989b33ccce |
|
VISUAL
aHash
|
0000383c3c3c0000 |
|
VISUAL
dHash
|
3021a27170318621 |
|
VISUAL
wHash
|
14387ebc3c3c1e9c |
|
VISUAL
colorHash
|
38002008008 |
|
VISUAL
cropResistant
|
3021a27170318621 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.