Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE53FB9938957016476380D394BF2A8AB339182FB91C15E1A5B4CBE572FC8F5206BF4F |
|
CONTENT
ssdeep
|
768:5yWuPcNwGyu/CW/usH198n+1QLZ5v5XMFiF/DfTzLoSLMRQFqX8UpTXKHpaRZ+rr:ObkyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333333233b2ccc6 |
|
VISUAL
aHash
|
c7c7e7cfc7c7c7c7 |
|
VISUAL
dHash
|
0d1e0c180c1c0c1c |
|
VISUAL
wHash
|
07030307c3c3c3c2 |
|
VISUAL
colorHash
|
07206008000 |
|
VISUAL
cropResistant
|
0d1e0c180c1c0c1c |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.