Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DB3C63223511EAF92A7D7F0BA71772E63468304CED391ED97F95261E78E945CE302A0 |
|
CONTENT
ssdeep
|
3072:H+gnnstAu1uCxLY81CRWEIO2y+UkIf8KvA:H+X1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
933bb06c6ce42ab3 |
|
VISUAL
aHash
|
010c0c3838387e7e |
|
VISUAL
dHash
|
2769696179e0d4e4 |
|
VISUAL
wHash
|
013c3c3c3c387e7e |
|
VISUAL
colorHash
|
30603000000 |
|
VISUAL
cropResistant
|
e8f0d4a696cce0f0,2769696179e0d4e4 |
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 5860 techniques to evade detection by security scanners and make reverse engineering more difficult.