Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B452CDB15409EC3701D7BAE492B46B1FA2C7C359DF572A4A13F887AC9BC2D80CE61B51 |
|
CONTENT
ssdeep
|
192:PKLYnkjQpiiN2PN6JNIONAPNYqNGeN+PNcrKAttcq5LH7WmeSM:9riugMFq3NYFq5LHA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e5c326747436173 |
|
VISUAL
aHash
|
009cffffffffffff |
|
VISUAL
dHash
|
4d3570702c120d0c |
|
VISUAL
wHash
|
00043d3dbdc9cdcd |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
48b470712c120d0c,0000000000000000 |
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.