Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193B33DA4F6C4FF2204A740D2B08AB997F7B91525F75504A0B99ACBD673DC8FB01A32D4 |
|
CONTENT
ssdeep
|
1536:biuPKQMrqMCCWpVGf8Og1vnkyoOulvzmDZePl0suoloU0iC2iqlZDsBzQ2N0msQw:biUrI3WjJPd1p2e2iq/WVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c119643636b6c3db |
|
VISUAL
aHash
|
00183c3c7c3c3c7c |
|
VISUAL
dHash
|
b4d0d0c8d0e0e0c0 |
|
VISUAL
wHash
|
00387c387c7c7c7e |
|
VISUAL
colorHash
|
39000440009 |
|
VISUAL
cropResistant
|
703038f85c74342c,b4d0d0c8d0e0e0c0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.