Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE225133A600DD2A8D9B56C8F1C09689401DD349FB3148C7B1A491FF7BC4DF1A9A93AD |
|
CONTENT
ssdeep
|
192:yqVr3JYdEoZTyk7xxKMcnthWeNWb9A4fMmUU8VCoAV2nVCV6V6VQV/:TVCEoZTywA4fMmUFCoAV2nVCV6V6VQV/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030796c65676d3c |
|
VISUAL
aHash
|
c3c7e7c3c7ffffff |
|
VISUAL
dHash
|
96961e0d36000000 |
|
VISUAL
wHash
|
00000000c0fcfdfc |
|
VISUAL
colorHash
|
070000080c1 |
|
VISUAL
cropResistant
|
96961e0d36000000,3030323232303030 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.