Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA3AB23426975274437C2C1347A5B3BD1E6999FFAE70A410EECCBFA2BF9C90741A119 |
|
CONTENT
ssdeep
|
1536:wfJ9htpR4nXBKpSpFl26vi8EMeESfv0xopJA9:WUML8SES6onW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c061bf32c1e4c6bd |
|
VISUAL
aHash
|
e0c870707844c0fe |
|
VISUAL
dHash
|
8818e7c3d0ad9c6c |
|
VISUAL
wHash
|
e0e870707874cefc |
|
VISUAL
colorHash
|
30601008000 |
|
VISUAL
cropResistant
|
8818e7c3d0ad9c6c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.