Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC031AF21224207EA807CBD8FA71B339716F52AAEA2BD05C92BC53B527C3C98DC57554 |
|
CONTENT
ssdeep
|
384:QnxrIOV1HvY7XgYWMrDlcOqfNMrDhXuTxrYgo0:oT1HvY7XgYXHg2HhexrYgo0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e493246d9a6ccd96 |
|
VISUAL
aHash
|
3f2737f7fbf3d3f3 |
|
VISUAL
dHash
|
f0ceccc402169686 |
|
VISUAL
wHash
|
38002476fbf2c3f3 |
|
VISUAL
colorHash
|
07007000008 |
|
VISUAL
cropResistant
|
f0ceccc402169686,4789990b27564e0d |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.