Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117C27531B000273B4197D3C97352F72EA2D39289DA56091952F8C79D8FE7EA0DE2352B |
|
CONTENT
ssdeep
|
768:uze/y5N/8Bv9NEG0i3/Vv47sOy2+y9BH4c1Ie:H9b1327sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a9828c193 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144ccec8cccdd300 |
|
VISUAL
wHash
|
80f6f2302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,144cccc6ccccc5e3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.