Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA39B33411835274437C6D530A55B3BD2E69A5FFAA70A010EECD7EB2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:kpkjLz4NP/y9svbliCdJJX5nXJxFtiuCa28y2O9:QwmAL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53ab819b94d |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8cbc3cccd09c1f0 |
|
VISUAL
wHash
|
6cf3783c050078ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4080812030808080,d8cbc3d0cdc9cbc2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.