Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE932AB5324A663F114383F1E318F92BE385E989D733CD82E3E9832795DDCA88D25195 |
|
CONTENT
ssdeep
|
768:GALC+NW++W2Zuqxma1QmFNOeaGmqONr6LC+NW++W2Zuqxma1QmFNOeaGmqONrH0e:vSb0o0DRfrZ8Y0jSYJsLnfoSWQq+S0O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ee7c3b09896b0 |
|
VISUAL
aHash
|
eb819f9fdfffffff |
|
VISUAL
dHash
|
4b2b3431b4740686 |
|
VISUAL
wHash
|
00001e1e5e1fffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3431b4740686,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.