Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152D1A631821D163B46CBCA80E4F3AB9A75D5C34EC31B6DD4BFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:AMdtFMdj0HqtoI6BAZ6CIbOL/PABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:AMJY0rBAyOLXsrCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeb4426d3c926d86 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2725642426230121 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
06600010000 |
|
VISUAL
cropResistant
|
12005a4b4e0a000a,eec6c3c9f13f8f0e,c1b09aaa84ccf979,b8eec2a669488ac2,fff9f8bbbe87c391 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)