Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC1264339015D52A0EABE58CF5C0E68CA19BD309FF328582E2E4A16F6BC5DF4586137C |
|
CONTENT
ssdeep
|
192:Hey+E8Yc7cIch+XdUdSVBCCkbS5jgIOfMmUU8VCoBD:Pc7cIch+XywVBCCkbS5jgIOfMmUFCoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc60cccc73 |
|
VISUAL
aHash
|
c7074747c7ffffff |
|
VISUAL
dHash
|
9c4c8ccc8d8c0000 |
|
VISUAL
wHash
|
4404040407c7fffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9c4c8ccc8d8c0000,5d4511ccc4174d6d,6a9e627248a6fa00 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.