Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11642B7F20195683A5193C2E8EAB5F729F1C7CA9ECA5707C0D2F8D36E1AC6DA0DD42164 |
|
CONTENT
ssdeep
|
192:hdy9Tbhv7ux4FhQ2DzUWcKUjz2R0UdCHvTRxFPbcS8m/xDo34K72:shTBU3Df2+UwPTtzn8m/xDo3B72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f75ddd67880a228a |
|
VISUAL
aHash
|
00fee7e7e7e7ffff |
|
VISUAL
dHash
|
b0684d694d4d4df1 |
|
VISUAL
wHash
|
003ca5a5a5a5a5ff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
0100908584830000,704c4d694d4d5df9,0000000040000000,172b458282452b17,8e132b4545450000 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.