Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168B39A33411935274037C6D530B65B3BD2E69A5FF9A70A010EECD7EA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:oWKLz4NP/y9svbliCdBup/fKCHFtiuCa28y2O9:SmAGus |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c56d92386d3a |
|
VISUAL
aHash
|
3b0f8bcffff0f8fe |
|
VISUAL
dHash
|
e2bf3f3d2c2610b8 |
|
VISUAL
wHash
|
3b130787c7f080fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2bf3f3d2c2610b8 |
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.