Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1860233F1D050ED37072685D5B7B63B2F36A5C345CF020E6463F893BA57CACA1CA22999 |
|
CONTENT
ssdeep
|
96:Tk3e9zDxLSTBEWhUSPRr8v67GhMatGylJCXVHlcmXr4/JfYQJuhMfmST5+AT431:Q3e9zDx2VB8iq5tGnD4ppJ+8DP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3f321fc23f600dc |
|
VISUAL
aHash
|
00efffe7ffff8300 |
|
VISUAL
dHash
|
4e0e080c00946fcb |
|
VISUAL
wHash
|
000eefe7ffff0000 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
4e0e080c008c6fcb,0000000000000000,d0d0d0d0d0202020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.