Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAF2B831A1003A3B419793CDB352E72FA2E3834DDB66054652F993AD4BF3DA5DE2341A |
|
CONTENT
ssdeep
|
768:rvy5NcsTFMBvEN+oA16VMFYbEko7sOy2+y9BH4cLIe:CTNA1vSZo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b8189943c7c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c0fc3c3d07cf000 |
|
VISUAL
wHash
|
00f7f1302004ffff |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
1280800458988000,9c0fc3c3c2d0fcf0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.