Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACE2A73171107A3B41E7C3CAB752F72BA3B79345D60A094692FD836D0BA3DA4CA3355A |
|
CONTENT
ssdeep
|
768:5S5y5NtFx4nwoP7KPiyh9EEvZWmyFkkwBUf0em7sOy2+y9BH4crIe:Px4nwdhKu0hwBwm7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
0d094b43c90c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff9e9efffefe,0080800078908000,0c09494b4bcddc30 |
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)