Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E2330B26146293BD68791C9AF746B0EE1C3930BC7221D49F7F2834B9F82D64FC49625 |
|
CONTENT
ssdeep
|
768:nUANN/IwWHdybRAyVGrZ8fHxZ8f1PZFbzFboF8XcBNXvZ1naZpa9yrNDTtlvVOQq:JbyDF4j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbc5e40d8416363 |
|
VISUAL
aHash
|
12ffffffff000000 |
|
VISUAL
dHash
|
34264e5667ccc444 |
|
VISUAL
wHash
|
02bfffffff000000 |
|
VISUAL
colorHash
|
1e600030000 |
|
VISUAL
cropResistant
|
36366e4e5e5776af,0b24d4e4c4d42262,172f6f3fbf7d3739,26ccc8c4c8e44448 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)