Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173928671514D282EA11392C6D628772E30BB51FEEE0B0110B6FC277DAED3D99ED36219 |
|
CONTENT
ssdeep
|
384:+g4t6a3RmkhcSlw3Lp23NLaJStJ77qJvy3yfp1IrIz:+gz8Sf3Lp23NLHIp1IrIz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ac6d6df31238 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d0e9c9cd72680874 |
|
VISUAL
wHash
|
003c242400ffffff |
|
VISUAL
colorHash
|
3a003000240 |
|
VISUAL
cropResistant
|
100c4d4c0e2c7424,50e1e9e9c9495271 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.