Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D152BF71E0A024AF3433EEE3F671BF49A5D6E72FC238949055684F5C9EA2EE05352153 |
|
CONTENT
ssdeep
|
384:s+/u9pFXY54i2PxQPP71b982RdRne6Zh7mY:pu9pzQPP71b982RdRnPZh7mY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85703b7be6e4c483 |
|
VISUAL
aHash
|
00007effffffffff |
|
VISUAL
dHash
|
1f19d4d4d4925554 |
|
VISUAL
wHash
|
000000b17e7effff |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
1fb8d455d4925555,1000a10f1b0f1792 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.