Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153A3FD27411975274533C2C130BA5B3BE1A69D5FFAE70D010EECC7FA6AF9CA0B46A119 |
|
CONTENT
ssdeep
|
768:VItpR4nXF6YjOpSpFlTC6rrNyL4MO0LpMmNhoX:VItpR4nXBKpSpFl26vgQ0ymkX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9216ec6dba538bc8 |
|
VISUAL
aHash
|
00002c0c0000f8ff |
|
VISUAL
dHash
|
3664e948484b9226 |
|
VISUAL
wHash
|
80363c3c2c00ffff |
|
VISUAL
colorHash
|
39200030040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,904406c8262616b6,0264e86858494b92 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.