Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124226610B2548C37109BA3DCB7E1DB1E62F24385D7520B4997E883F65FE3C68DD2658A |
|
CONTENT
ssdeep
|
192:eKyXScWzYFnlTuhF6gnqzrUDSGI2jJ8PLaMZvHRuyqWBECg0nyeBYpemfVRm:eKyXlgupuhF6gqHUroxuyqWBBJnyeBkg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999933cccccc6666 |
|
VISUAL
aHash
|
0818181818181800 |
|
VISUAL
dHash
|
30b2b2b2b2b2b230 |
|
VISUAL
wHash
|
3c3c3c3c3c3c1818 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
8c888e172b71058e,30b2b2b2b2b2b230 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.