Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B594D722F7B8A533E22F83C5E4F2BA6D51E553DFFA80C5D854AC9B6CA9B8CC03445254 |
|
CONTENT
ssdeep
|
3072:BGD7XfGunDPPPcPqUMHIo0QqMJAC1dPv2ha6N4WNC2K:BGD7PGunDX0wIo0FMJAC1d32U6NP82K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92124deded6d1392 |
|
VISUAL
aHash
|
00000400ffffffff |
|
VISUAL
dHash
|
d2cdcdc54c36333f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
b2bc8ee288fae084,07cc381733231b3f,dcc2c5cdedcdcd22 |
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 175 techniques to evade detection by security scanners and make reverse engineering more difficult.