Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B204B7B0A065F5BE198B73D16708734AB795C089DF304A87D3E7C38A739EE81E616274 |
|
CONTENT
ssdeep
|
3072:gpYW7e2JVtrYJVtrRxMpYW9c2JVtrYJVtrRxApYW9c2JVtrYJVtrRxApYW9c2JVn:cve2JVtrYJVtrRxo5c2JVtrYJVtrRx8B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c3a69399633c5 |
|
VISUAL
aHash
|
00007e7e787c7e0c |
|
VISUAL
dHash
|
03ccdcd8d2d0d8c8 |
|
VISUAL
wHash
|
00307e7e787c7e0e |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
ecd95d4909e9bd4d,03ccdcd8d2d0d8c8,8e8eccdcd8c8c8d6,014b00883333a131 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)