Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F127023B600DD2A8D9B5ACCF2C09588412DC345FB3148CAB2A491FF7BD5DF0699979D |
|
CONTENT
ssdeep
|
192:4dKfW+8sjx+McnthWeNWbhfMmUU8VCovg:cKfW+rfMmUFCovg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f933d72c6c866628 |
|
VISUAL
aHash
|
e7ffe7ff8181ffff |
|
VISUAL
dHash
|
0f2b0f0033230002 |
|
VISUAL
wHash
|
8181819981e3fffe |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
0f2b0f0033230002,1008b2b2b2200000,4000d4d401696101 |
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.