Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A37A33411935274437C6D530A55B3BE2A6DA8FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:vtFLz4NP/y9svbliCde0EFtiuCa28y2O9:/mAI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363fc3a9d49c50a |
|
VISUAL
aHash
|
00002020000000ff |
|
VISUAL
dHash
|
044cccc6c8cce3b8 |
|
VISUAL
wHash
|
c0eef660242079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,840cccc6c8cccde3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.