Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAD2B731B1002A3B02D7D3C9B362A32AE2E39349D756095991FDD39D8BE7D54CB6313A |
|
CONTENT
ssdeep
|
768:mScy5N0VDvneeMopvM1Q7sOy2+y9BH4c1Ie:8Dvw1Q7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b43ad52bd1c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c8cc2c2c8c9c300 |
|
VISUAL
wHash
|
00e7f3302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,c40cc6c2c2c8c9c3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.