Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132A3DB27422935274437C2C1307A5B3BD1A69E5FFEE70E410EDC8BEA6AFAC90745B119 |
|
CONTENT
ssdeep
|
768:k3DktpR4nXF6YjOpSpFlTC6rr/dOTK40SNLyX:k3DktpR4nXBKpSpFl26v1QKeNeX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d212ad6dba13cac5 |
|
VISUAL
aHash
|
00003c0c2000f8ff |
|
VISUAL
dHash
|
14e4e9c9c8e08024 |
|
VISUAL
wHash
|
00043c3c7c30ffff |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,800802d82c241296,02c4e8c9c9c8e080 |
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.