Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15003EF385341152E96C307F6E192FB7CA2BD86E9DE5BA9DCB27CC0D12389C1C86975E0 |
|
CONTENT
ssdeep
|
768:5rd5YPnAbhadbcbbrJgNIm3k3bDq4/ENZ8VxNi6rN42YpbnVrw/McyBlZK4+4bky:5rd5Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3d33d30c6cc23b |
|
VISUAL
aHash
|
000818183c7e7e7e |
|
VISUAL
dHash
|
70703032f0c4e0c8 |
|
VISUAL
wHash
|
183c18183c7e7e7e |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
70703032f0c4e0c8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.