Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A043322B610BC1AC6435DCF5120C925BB4DF72ACF1A53C6F7841A379BA9CB17DB6824 |
|
CONTENT
ssdeep
|
1536:RFSLxBcg2B7uTPLpZnDRguhh1Q2OLKloOldS6fB3kHMiWtdPtt7G0PAj5rzOrOrM:u1K0+V2Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94ded8712b2926c |
|
VISUAL
aHash
|
ffc1c1cf00ffc3c3 |
|
VISUAL
dHash
|
6a23b39832080f17 |
|
VISUAL
wHash
|
f78181c700ffc3c3 |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
0a34039323bb9e60,c6e26272627666a6,a2b2989a9bdad2d2,909c8c8cdccccccc,300c0f4b07031701,65525255d7da5155,5832331b33b2129a,4a5a595949494e4f,070155d4c5010103,004db2b3b332324c,05004bb2b24d0101 |
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 165 techniques to evade detection by security scanners and make reverse engineering more difficult.