Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA323E23B600CC6A8D9B96CCF6C09989455DD345FB314CCAA1A480FF7BC4DF069A87AD |
|
CONTENT
ssdeep
|
192:LYhV3JYdUm5asRasVaMzwrTXMcnthWeNWbZfMmUU8VCo+hOOhqhYhbhsEhIhC:UCUm5F7pwrTefMmUFCo+lQ+tjaQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f333d9887722dc88 |
|
VISUAL
aHash
|
efe7e7e7effffffe |
|
VISUAL
dHash
|
180c0c4d0c000000 |
|
VISUAL
wHash
|
e3e3e3e320303130 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
180c0c4d0c000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)