Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192227233A500DD2A8DEB56CCF6C09689412DC345FB3248CAB1A490BF7BC4DF1A99979D |
|
CONTENT
ssdeep
|
192:ie8W3JkdWlaxnMcnthWeNWbG7hBPZP+kMVfMmUU8VCoA4OFGgQ:Kp7hBPZP+kMVfMmUFCob |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8700f839fe8f7906 |
|
VISUAL
aHash
|
3f3f3f3f3f0f3f3f |
|
VISUAL
dHash
|
58d8f878f8dae860 |
|
VISUAL
wHash
|
000000300f0f3f3e |
|
VISUAL
colorHash
|
07281001040 |
|
VISUAL
cropResistant
|
58d8f878f8dae860,8fcc84caae8c84cd,d9ccdcc9c63061e3,24d3503a4a490000,df1f431b13071707 |
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.