Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3A37933411935274037C6D530A95B3BD2E69A4FFAA70A014EECD7FA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:nNLz4NP/y9svbliCdfufnr/FtiuCa28y2O9:lmAI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53ab619bc49 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
ccc7c3cdcd09d3f0 |
|
VISUAL
wHash
|
64f77814250178ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
1080812030808080,cccdc3c0cdc9dbd2 |
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.