Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F3C38568508DDB059330E183902A0CACA7F376AD3975D805F680AF37FAC7CBA55D7A |
|
CONTENT
ssdeep
|
3072:mxfngfE+kwm8Kt2VEVcOW1j7RjM2HjrerHomg7xtaxXoBBTHnqzrlIogvp0D8q2M:mxfngfE+kwm8Kt2VEVcOW1j7RjM2HjrQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b23648ebb238e8d |
|
VISUAL
aHash
|
01183c1c3c3c0098 |
|
VISUAL
dHash
|
23b0797979711333 |
|
VISUAL
wHash
|
e13c3c3c3c3c9999 |
|
VISUAL
colorHash
|
3000b0000c0 |
|
VISUAL
cropResistant
|
0024104c4c062088,23b0797979711333 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.