Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151B3B7ED1B644AFADC82D3EADF225559750990FB56C20B24C39C8F5C7897868CC92FC2 |
|
CONTENT
ssdeep
|
1536:rqtn8hlw+aem764rkKpeCMUgcbOK6+UhLpav9ghaDwMleUYGw224/QSt:iH79zt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3595d664e4e2298 |
|
VISUAL
aHash
|
0080ffffffe7ffff |
|
VISUAL
dHash
|
2018084c0c0c140c |
|
VISUAL
wHash
|
0000c7e7e7c3ff03 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
18184d0c0c0ca20c,0020c020582400d8 |
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.