Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B083C560D0286AE701E345E158706FF463A493C8DFA30785E7F4534AABCBD96EE0762D |
|
CONTENT
ssdeep
|
1536:9u/PBVQCoVoPLJdxdYsxdzqdxds/xdRNxdiKFxdl8txdaeAxdKUw+tX:YPL/hHYxBaX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d311cea446baa679 |
|
VISUAL
aHash
|
ff08000000fffc00 |
|
VISUAL
dHash
|
20d8d8c8cc081965 |
|
VISUAL
wHash
|
ff08080024fffdbc |
|
VISUAL
colorHash
|
03000040006 |
|
VISUAL
cropResistant
|
c82030d0d8d8d8d8,cccc080019196569,095ab371e1d0a8b4,d8d8d8d8c8c8e8cc,844e8e61606400a4,3171181931306069,4c86d6370f0e3265,25338c14108bd2d1 |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.