Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116A3BC234229351B4437C2C430BA5B3BE1A6995FFEE70E014EDD8BFA6AF9C90745A11D |
|
CONTENT
ssdeep
|
768:R4SbVqtpR4nXF6YjOpSpFlTC6rro3qnYk/V4Ucd7X:R1bVqtpR4nXBKpSpFl26v8qnYktlY7X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ec6db89343c6 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
14c4c9d9f8f02c26 |
|
VISUAL
wHash
|
00247c7c3c00ffff |
|
VISUAL
colorHash
|
32200010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,00926c243626c616,1254ccc9d9c8f060 |
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.