Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A37933411975274437C6D430A55B3BE2E68A4FFAA70A014EECD7FA2BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:xPOWLz4NP/y9svbliCdNxOqU2Nu3FtWAuCa2JX2ZP4:pOImAOxOqtNuE4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34ab53ab03abc4e |
|
VISUAL
aHash
|
00200000000075ff |
|
VISUAL
dHash
|
69c0c0c8c1d0c9c8 |
|
VISUAL
wHash
|
007c3070fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0800400058588090,29c1e0c0c9d191c8 |
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.