Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11682CC702801DC2601EBA9D8B6B29F2E55F98304D2631689F996C3FD2BD7DADCE73140 |
|
CONTENT
ssdeep
|
192:N0PZPanO34vRl642J0WP+4aavm21p8Nq0OkXPltY+5nX2yBkhg:yTd0WP+uvmA4VnX2yuO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9ccc3333333331 |
|
VISUAL
aHash
|
3c3c3c1c3c3c3c3c |
|
VISUAL
dHash
|
7171716969616161 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
33007000000 |
|
VISUAL
cropResistant
|
96a199b19999e189,7171716969616161 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.