Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8A3C8B281543732028341C1B956BB96E796C08CEE2B17816DF8C38D1FE7E65DD2E629 |
|
CONTENT
ssdeep
|
1536:u2UXVEw4ARAEkDucqsjh80HNhW7XW+57p4+UEeIj9L2b7IKS+X:u2U2nVtWXt57UIj9oFS+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3b4e1c1c9ccc63 |
|
VISUAL
aHash
|
90e1e3cfc7f7fff7 |
|
VISUAL
dHash
|
310b0b381e0c0c0c |
|
VISUAL
wHash
|
0081c1c703373733 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
310b0b381e0c0c0c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.