Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D431655040AAAC2B576285F0E6C6B29101EC837CCB106D5875F5463E0FD5D24C1697FC |
|
CONTENT
ssdeep
|
24:hvDkDJCRqvDRcwrZwJ8s7T5KBJXErnm0OL1DO3L92VU3Bg22yck7p+rYhnA447:1DkDJOqvlcwrZwJXvUHXECREKrDsA447 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333cccccccc31 |
|
VISUAL
aHash
|
e7c3c3ffffffffff |
|
VISUAL
dHash
|
4c4d4d2004000000 |
|
VISUAL
wHash
|
0707072700000000 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
4c4d4d2004000000,688b726a6a723350 |
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 147 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)