Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188A36933411935274437C6D530A65B3BD2E69E4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:oa2Lz4NP/y9svbliCdB7FwKU43FtiuCa28y2O9:1omAIo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c163c53a961ebc6c |
|
VISUAL
aHash
|
00600000000030ff |
|
VISUAL
dHash
|
c0c3c3cdcd09d3f0 |
|
VISUAL
wHash
|
70fb703c050178ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
2080812030808080,c8c3c3c8cdc9dbd2 |
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.