Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12083E96A4144EA3E26F566CC8D10AF1EA2CC8148CE228BF4E7D7C7CEA5C6F71597114D |
|
CONTENT
ssdeep
|
768:0KBgBpJikXp5gBTzE8V8n8/5q0rurrvQAKZEdwWnOSb3B+9YNawxy9R7sO50s/xV:OJi1E8O5rrYfWo1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c664b09b64ec1fb4 |
|
VISUAL
aHash
|
00003030303cfff6 |
|
VISUAL
dHash
|
c4e0e4e4e4692ad4 |
|
VISUAL
wHash
|
00307070703effff |
|
VISUAL
colorHash
|
11007000200 |
|
VISUAL
cropResistant
|
a2804155554180a2,a280415d5d4180a2,8000000217232207,dcc0e4e4e4c66969,24136cd4d46c1304 |
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 120 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)