Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2028931D88D1B73036313D46FAAB72FF2825149DD3B0D5692F6539A8ACEF96CC21116 |
|
CONTENT
ssdeep
|
96:WQn4iwfYOSJSJSC8x0Muw9YQCRjpV2hCRj5HhyXO37/9gCcmlCEOnZktYMjl:WQrwQL44CUywqljpVxj5HQXab9gXmGQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8786383879e5c7c6 |
|
VISUAL
aHash
|
023e3e7c3c0d0000 |
|
VISUAL
dHash
|
966cecc9e9ab5670 |
|
VISUAL
wHash
|
473f3f7f3f0d0000 |
|
VISUAL
colorHash
|
30400010000 |
|
VISUAL
cropResistant
|
6bcbec2fa4329517,966cecc9e9ab5670 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.