Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159544BA06350627DA003C3F8D3B5BA7972A6A9C4DF13D588A3E44D676A96C0DCC758CF |
|
CONTENT
ssdeep
|
1536:VVKXmNXvwp9oC94YmCnTyztCL5/gN+JfsCWLYjdwC8KsytCL5/gN+JfsCWLYjdwk:VeoC9nTyzIHI40XT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec649313697b3526 |
|
VISUAL
aHash
|
00f3f191f1ffffff |
|
VISUAL
dHash
|
e3e7272727d37161 |
|
VISUAL
wHash
|
00218180f0fffdff |
|
VISUAL
colorHash
|
07c00040000 |
|
VISUAL
cropResistant
|
c7e7272726597141,07076763670747c7,1d6f4e0a1917331f,e3d9716c603393df |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.