Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A1260344182A53F05D386C48B31674EFB96C291EF1B5B0B57E9C36C2EC6E4BCE92825 |
|
CONTENT
ssdeep
|
192:4Gb9sNRvYLqvmuaymuaymuaylurJYwoX4CQ1o:4O9sb4zzHi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3c14747c6a6344 |
|
VISUAL
aHash
|
80dfff8199ebffff |
|
VISUAL
dHash
|
3e342b2b2b2b2b0b |
|
VISUAL
wHash
|
809f8b818983cbff |
|
VISUAL
colorHash
|
06007000040 |
|
VISUAL
cropResistant
|
3e342b2b2b2b2b0b,5e5c7b7c74e4f4fc |
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.
Pages with identical visual appearance (based on perceptual hash)