Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2416671A129ACA31253D6D476E13B1B3686834ACF42270053FC93ED6BFAE4AED18494 |
|
CONTENT
ssdeep
|
48:TKWhcqGgC9bKBRlY3FN2VAT2S5cWDMHGU:ThrGPgRuFN2VAT2SmWDMHGU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a6989999266666 |
|
VISUAL
aHash
|
ffffe6feece4f8f0 |
|
VISUAL
dHash
|
00304c10084c3000 |
|
VISUAL
wHash
|
fcf8e0f8f8e0e0c0 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
00304c10084c3000,00202804242428c0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)