Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4D3D7607914886600ABC3D4F7A36E5961A9F307C39645D4E2FCC7B80FEBDB5E82B484 |
|
CONTENT
ssdeep
|
1536:fFr2FAN88nSuMM1zYgMJF/KyyvzOEzJgM4F/XLy8rQ5XuThlg:52eN8ZTMoVhlg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94636c6365636763 |
|
VISUAL
aHash
|
0c1e1e1e1e1e1e1e |
|
VISUAL
dHash
|
b4b4fcfcbcb4b4b4 |
|
VISUAL
wHash
|
1e1e1e1e1e1e1e1e |
|
VISUAL
colorHash
|
32000c00000 |
|
VISUAL
cropResistant
|
e86a842a2ad58a82,f0b0b0ea6caaaa96,b4b4fcfcbcb4b4b4 |
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 99 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)