Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0D37DFC767832E12E835BE2E16B250E321D54231D4C8CB0D259EC8E96F945895A7FE8 |
|
CONTENT
ssdeep
|
1536:8gx1n3CZ2nfpU5+m1uGvvJSigVcbLDhX7uzkhVhgYuVHuon4nwS:tCZGa55jvxvg6LDhX1uVq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f3fe0c8cd03f0e0 |
|
VISUAL
aHash
|
1f07071fff7f0fff |
|
VISUAL
dHash
|
327c4c7950b8f9e0 |
|
VISUAL
wHash
|
0707070fff1f003f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
327c4c7950b8f9e0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.