Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11523A6747244293F626747EAF2A1976EA0EED74ADA17D48CF7AC825213CACC4CF53604 |
|
CONTENT
ssdeep
|
768:pYjk9odlA9a8r1izYG1nbN9gNCLgpTvQE3+0DVK79WqbnbBNr1/DgwfJ2wkoonhb:uXKB7QW+08c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad42ffd034cdc611 |
|
VISUAL
aHash
|
4200000000ffff83 |
|
VISUAL
dHash
|
a6d9d9f3de721636 |
|
VISUAL
wHash
|
771f000102ffff83 |
|
VISUAL
colorHash
|
12080002400 |
|
VISUAL
cropResistant
|
00400c73717571f5,92615236361e3636,4486a696c1c41000,79d9d8e3f3f6dc7e,f272725456564e9b,f8f0d05372686854,f2c6dad871313131,3b33717171650545,6b630d7169797955,9296745145410145 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.