Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168E2C931A1002A3F01D7D3DAB721B72EB2A74249DA46050595FD83ED4BABD71CA3B91F |
|
CONTENT
ssdeep
|
768:8Yy5NfrxEfSnAOaAZnxaoZsb1hkxwvb7sOy2+y9BH4cLIe:2VAOdf0Tb7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269fc12cd0d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
15094b5bc90c3c00 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,0080800078908000,1409494b4bc95c3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)