Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110C1962553080C7E21139991F695F61894EAE3EDD76FA62CB07C227F25C3C98C9772D8 |
|
CONTENT
ssdeep
|
96:seJbjqIGqK//EJxK55HRJ3uvxm3EkWsekVeks72iCh6kE9KWeyym:sAyIy31fJuvQ3E9VNW0g+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc6666cccc6666 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
203232b230303030 |
|
VISUAL
wHash
|
3838383818181818 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
20d02b1717364804,203232b230303030 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.