Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146D2B63A42007E1B1AA341CCBBF2174EB783C21CC7964D9B61ECD72C5AC2D51DD76A6A |
|
CONTENT
ssdeep
|
384:dOL/bpanbVJK4KPJe/Amo2js5QXi3jWZChQHwOuA2MS5KgWKnXtHJE:diOYDPAm2yeiD6hZg3/X4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ed6c9813c36d |
|
VISUAL
aHash
|
00247c7c3c3000ff |
|
VISUAL
dHash
|
10c4c8c9f8606818 |
|
VISUAL
wHash
|
807e7c7c7c3000ff |
|
VISUAL
colorHash
|
31200010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,0000000000000000,1000000000000212,10c4c8c9f8e06818 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.