Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13872757090989D3722A3D5D0B2F5AB8F71C0C35ACB97270147F493ADCACACE6CD25196 |
|
CONTENT
ssdeep
|
192:L90xxR2/MEquZFCPi1x6WoKiLsxfSCC9Eb8ZoX4rL1rSVkYQI16/2SzZWVSsCvg3:L9iRSSPiLXiLUCkwLkvxKZWVGkxB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
992276c8372c9d67 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
8cb2b2b2b2b2324c |
|
VISUAL
wHash
|
465a5b1b9b9998c6 |
|
VISUAL
colorHash
|
31000030000 |
|
VISUAL
cropResistant
|
4c0f1378313a5515,8cb2b2b2b2b2324c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.