Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7F120F1D040EE3B475386D9B7B56B1BB691C749CF070A4093F893AA5FCACA0CE11659 |
|
CONTENT
ssdeep
|
192:QcDqK0EVSnbzDJ1s60Ejt8iTS0h5YMvv9LnLzvYMCwdw:Q40EiNn0Ex1u0hqMvljQMCwdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bab845ce46b113ec |
|
VISUAL
aHash
|
cfc7cfc7c7c7c700 |
|
VISUAL
dHash
|
3b3b3b2b2b2b2b16 |
|
VISUAL
wHash
|
c3c7c7c7c3c7c300 |
|
VISUAL
colorHash
|
06032000000 |
|
VISUAL
cropResistant
|
3b3b3b2b2b2b2b1b,9dade4adadadadad,0e22223323222833,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.