Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF32A7B29455683B1617D5D86DF0A72DF2C28A8DD99207C2F3F4931F0BC8EE6F942129 |
|
CONTENT
ssdeep
|
192:k3yMy9Tbzvvux4/hwMXJTVDWDeXRU64kzWDCy9VK2X4g8o:ZzHgmyauNMW2y9VK2XN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7775d1d890b2222 |
|
VISUAL
aHash
|
00e6e7ffffffffff |
|
VISUAL
dHash
|
720c4d4970020000 |
|
VISUAL
wHash
|
0084a5bd3d0d3f3f |
|
VISUAL
colorHash
|
07208008041 |
|
VISUAL
cropResistant
|
0100d0e1c1c30000,2c4c4d614c000000,0040101010400000,70b89058448a6c72 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)