Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E55C31B3521012F7BA9EC9F5ABCB9433465792C9814B7DA9E9C636F8CC02270F475A |
|
CONTENT
ssdeep
|
3072:JxJJEdqTSr7YO8N/COSS8N5xAY5KevqhZCjXk5EczqPZS3vVMJex4Ju3Su/ObFUq:1O8NPSSuOY5K5j2vI4gzPE1PEW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f59a319b88798a74 |
|
VISUAL
aHash
|
cfc3c3c3ffffc3c3 |
|
VISUAL
dHash
|
9e8e8e96868e9696 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
9e8e8e96868e9696,93c9ad52524babad |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.