Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8740033021835264137C7D430A99B37D2A69D5FFAA70A414FECD7E72BEDCA0B45A11A |
|
CONTENT
ssdeep
|
1536:IbtsU8PjpMq1Wiz32afK+bvt8sPB3IxknNkCR+ONWs/iQqKvF/BlqgFwe9eMGIoW:sQGif5FipwRltFwe9eTV3lviyQv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcb643e70bc34931 |
|
VISUAL
aHash
|
ffffdfffffff0000 |
|
VISUAL
dHash
|
232e3e3a3e04c230 |
|
VISUAL
wHash
|
ff83878f8ff70000 |
|
VISUAL
colorHash
|
0e180000000 |
|
VISUAL
cropResistant
|
2b2e1e363a3e26c2,8080000478703000 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.