Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEA36933411975274437C6D430A55B3BD2E69A4FFAE70A010EECDBEA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:r9Lz4NP/y9svbliCdZoUbVFtiuCa28y2O9:pmAQ2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3478532bc39b669 |
|
VISUAL
aHash
|
00202000000420ff |
|
VISUAL
dHash
|
ccc0c0c2ccccc3d8 |
|
VISUAL
wHash
|
06786060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
c000a88058588090,dcc0c0c0c8ccccc3 |
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.