Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A94153C2801DAC7F4E2191F467D2615482EED278CB00295852F4D66F2F9FCA4D2662FC |
|
CONTENT
ssdeep
|
48:TtkDJna8elc5KRiu5enceXEwdYP87rPJoqmk7:T2deeRSencevYP+rPDB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33366cccccc8e31 |
|
VISUAL
aHash
|
e7c3c3ffffffffff |
|
VISUAL
dHash
|
4c4d4daa4505aa55 |
|
VISUAL
wHash
|
6300c36384ff73b5 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
4c4d4daa4505aa55,6881726a6a72330f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)