Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C83C58E6455202A472740E348FB1F89B7795C2FF93502D2A5BC87A5B3DC8F13266B4B |
|
CONTENT
ssdeep
|
768:0yWuPuz/v/5yZLTXWsjwqDC1z/uoWL88n+IfVaSx999X8U/pF1rDLuxDVNmkIreI:GT9uF336PVyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a5528d58b5dac75 |
|
VISUAL
aHash
|
0000003c3c3e0001 |
|
VISUAL
dHash
|
00081669e8d40a41 |
|
VISUAL
wHash
|
0000043c7f7f0f0f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
6c6b98d38e0c7646,5a4a66b526a5b575,00081669e8d40a41 |
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 474 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)