Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBA2B631E120293B4293C2CDB762673EE0E3824DD69B081993BD879D57E7E64DD2345B |
|
CONTENT
ssdeep
|
384:PNy5N8PdI4OIkn5BGiUhIIIIIDVSowYUiEno6jHTmIYsOy2+y9BH4cUUIe:PNy5N8PvIIIIIDVSowtiEno6jHi7sOy8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763f830b049e796 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
9d4343cbccdc7100 |
|
VISUAL
wHash
|
00f1f1600f00ffff |
|
VISUAL
colorHash
|
39001200180 |
|
VISUAL
cropResistant
|
0048169696042800,6900a00170b08000,9d43434bcbcc5c71 |
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.