Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10743F374225257AB41C7C5E0A664AB1EE2E9C74CCA2B8B4AF3FC83476BC7C41DD91358 |
|
CONTENT
ssdeep
|
768:y3VcdE9H55RJojneIVU1xiYlYfGglsB35JHSMhqx0Gi6PfLm1OPgH4T:G//oLPQNjMV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc02823dd12acc7f |
|
VISUAL
aHash
|
000010c0c3c3c3ff |
|
VISUAL
dHash
|
016830101a2b2b07 |
|
VISUAL
wHash
|
003c90cecbc3c3ff |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
484b888890828040,3030d8d85afcfcf0,016830101a2b2b07 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.