Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170519330CA245E2A54E383E48EF6F71A56438A91F343010893F4C6ADAEE6F98DD125A4 |
|
CONTENT
ssdeep
|
48:HpEoC9irIiw0qCcf1UhDJ/CnkC2WzXryl4q3Gv20oH3G/+pEp6/O:6srIz0qC5DhCZzXG4qr08G2K6O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b337e3e2880ccfc1 |
|
VISUAL
aHash
|
e7e7a60eece7e7ff |
|
VISUAL
dHash
|
0c0c4cbc984d0c00 |
|
VISUAL
wHash
|
e7e6e60240c0e7e7 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c0c4cbc984d0c00 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)