Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181A2A732A090293F9253C7D8B761BB6EB2D3D38DC7C5081556FC476E4BE6E50CC2692A |
|
CONTENT
ssdeep
|
384:kbOy5NMM+ALVPO5U1bXUSysV6jhn6EMI7wUXx4xHm0JWsQIYsOy2+y9BH4cCUIe:8Oy5NM4R6sVuhn6EMI7wUYHm0WR7sOyK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b43abd13d1c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
18c9c1c3c3cded00 |
|
VISUAL
wHash
|
00f07c70000fffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0880800458988000,184dc1c3c3c3dded |
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.