Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7E131E1C118CD3703228AD5F7F56B5BB9D2C359CF02098453F852AB9BDAC60CA26699 |
|
CONTENT
ssdeep
|
96:Tkw79oh4lzH0XfeG9Edt7UxDwvFKej9XXIHFuVeUqXHz/EEt7MqQPJ:Qw79oh4lzH0X19EdSx0OYAU4z8E2qQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8936d33166c4747 |
|
VISUAL
aHash
|
00ffffffffc3c3c3 |
|
VISUAL
dHash
|
68141632080f1717 |
|
VISUAL
wHash
|
00c3ffdfef818181 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1616203408071717,0000020414040000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)