Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174E2DB72A1006F3F02A792C6B391A75A63E3834FD349141292FD431C4BE3E51EA2776E |
|
CONTENT
ssdeep
|
768:y8OFjb1fzjzVy7h6BEG5QrJbz7sOy2+y9BH4crIe:y8MwYgF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f93abd6996c4 |
|
VISUAL
aHash
|
000060000000ffff |
|
VISUAL
dHash
|
d8c8c4c8ec0cc300 |
|
VISUAL
wHash
|
006470603e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,d8c8c4c0c8ccacc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.