Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C052E6B92210262F055381FAFBA1F355909DC11FC663C8D4E3A9C7994BDFC93EA136A0 |
|
CONTENT
ssdeep
|
192:alJIGInv3MUGQC3c8OresJ1kP4bAjywAcQSyUZxBcFL/W:4J7mv3KyRs2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92ae6d1dd253924b |
|
VISUAL
aHash
|
0103276f2f0f0800 |
|
VISUAL
dHash
|
fb37ccccccdc3859 |
|
VISUAL
wHash
|
01073f7f6f0f0f08 |
|
VISUAL
colorHash
|
39481000000 |
|
VISUAL
cropResistant
|
3ca6ba96868a82b2,6bab95b5b5b46a6a,fb37ccccccdc3859 |
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.