Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1434473568AA83B25E256C562303F1AF2A14D45EF2BE9D063F403AC5BF6F11D813DA1 |
|
CONTENT
ssdeep
|
1536:8MfLy58mKh4DoJAMxmTYQZQ6maHNmfvKFl:8M8YQTmfvKFl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c2d7589c330c3ef |
|
VISUAL
aHash
|
0b0101177f7f467e |
|
VISUAL
dHash
|
b22727b5e1e49cc4 |
|
VISUAL
wHash
|
030101577f7f467e |
|
VISUAL
colorHash
|
08000038000 |
|
VISUAL
cropResistant
|
e21ee6828aeaca4b,65e9d83446c3cecc,e9eae6e4e0629696,a7850f3ed6dca091,4c83a3a3939b92e4,b22727b5e1e49cc4 |
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.