Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1047152B59004942F1AA2C1D4BBFAB26BE9F14146CB270551F6FCC79F0BE6D90DA7B120 |
|
CONTENT
ssdeep
|
48:3q5upcpQsNlxdA6C4rcxwczcg/cIcKvKCVaG2VX2xL2bwibZ2n8P2C6vQ2JujZ/:mu9643xBvpgxVG8wn8uXvXJsZ/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bb7205f60f6c15c |
|
VISUAL
aHash
|
ffffffff18181800 |
|
VISUAL
dHash
|
2b070c6979696993 |
|
VISUAL
wHash
|
ff87ffff18180000 |
|
VISUAL
colorHash
|
16000000246 |
|
VISUAL
cropResistant
|
8a270d0869716969,6971796969708f9b |
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 1415 techniques to evade detection by security scanners and make reverse engineering more difficult.