Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190448C234159692A4437C7C02479AB7AD5A6DE4BFAA70A004FECC7F73BF9C50741A22D |
|
CONTENT
ssdeep
|
1536:YRItUgQmTa3MZo+Hd1+40ly+9kV/d+Smfu4/ZT4oU5yd0E6Q+MCG8lKIwmvSpO51:lOQoTqfQw4C4Y4U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba1af6b5110c1cde |
|
VISUAL
aHash
|
00a40001fffffbff |
|
VISUAL
dHash
|
8c49792be937270c |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
8c49792be937270c,0000006c6e681000,0081618191414181,8382212143439286,d8282c9393262828,5c26e627474d1387 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.