Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE2627062195B3F2293C3E1A7359BAAB399C1E4E506220885FFD37D5BF7C11EC9A184 |
|
CONTENT
ssdeep
|
768:lIjVj3Ry/2fZmh7fWkBh19zSk0ZOn3iOU73gNTEPs/z:la3RyUmZWkjLzCOR/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5e5e7c53584943c |
|
VISUAL
aHash
|
72701c600c787808 |
|
VISUAL
dHash
|
c6c9b0d8d8c0e069 |
|
VISUAL
wHash
|
72707c647e787838 |
|
VISUAL
colorHash
|
38c02000000 |
|
VISUAL
cropResistant
|
fff7dfcdcdcdf3ee,c6c9b0d8d8c0e069 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.