Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160C27572A000263B019783DDB362B73EE2E3928DEB46091556F8936D9FE7E50DE13526 |
|
CONTENT
ssdeep
|
768:xSCy5NFcMS25gPHfxkM7aw3cDj7sOy2+y9BH4crIe:dMuNX3cDj7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc38dc29c3c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c2c0c8c9d700 |
|
VISUAL
wHash
|
80bd6030340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1e09c2c8e0c9c9e5 |
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.