Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFB38933411835274437C6D530A55B3BE2A6994FFAE70A014EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
3072:aHYHqJQgLHIv5H61AVlMYXuAWEtAgKpgG6BfQp8mA7W8:aHYHqJQgLHIv5H61AVlMYXuAWEtAgKpe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc3aad43c34e |
|
VISUAL
aHash
|
00006000000024ff |
|
VISUAL
dHash
|
d08cc8c2caccccc8 |
|
VISUAL
wHash
|
0064fc607024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,c89ccccac2c8cccc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.