Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157A2B63260042A3B529783CDB762F72EA1D39288DB89181556FC475ECBE6EA0DD0746E |
|
CONTENT
ssdeep
|
384:hVCy5Njm8A2FVwBg5hnOUMJjsezQKbIIIRP4inBH/0aoOkLfeso63nZcFMzIYsOV:/Cy5Njc2XcjsezVbIIIZ4inBH/0ikLfx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8329bd32d46dd6c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
9fd7c3c3cc6c1300 |
|
VISUAL
wHash
|
00733170240effff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
fbdfe96969ffffff,0080801858808000,8fd7cbe1cbcc4c03 |
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.