Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155E145E1C114DD3703224AD6F7F52B5FB9D2C359DF02098453F842AB9BCAC64DA22A99 |
|
CONTENT
ssdeep
|
96:TknEt79oh4lzH0XfeG9Edt7M6lDwvFCexXgHFxelXez/bt7MKqQPJ:QQ79oh4lzH0X19Ed3lUi+YzTnqQR |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)