Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D235B726732B87883DB91EEF7382D46B2D5948DE8C74450B5C96ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aV+EsZx8/G8dRF4MDatnM7BUt5M7BowZUcix+y9dQpUDF1E56ITmHDLBABW8KPqR:aV+EsZ/8vOMDatnM7BUt5M7BowZUXx+L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6b95946a91c563 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
71714d4541000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e000608200 |
|
VISUAL
cropResistant
|
71714d4541000000,3032288288828880 |
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.