Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190D34321C6A40333D205078AE7EB7756279BC1C7CC92B8B8E1648175DBBED891C77DA2 |
|
CONTENT
ssdeep
|
3072:/hKJrjylK2E6IOZuagKI3ImJS2QgIYLQICeIkPksuGIyIhuBn1uYYmN:ZKNQ5Idf3N8YPN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695d24a924767 |
|
VISUAL
aHash
|
fef1000000f1fbfb |
|
VISUAL
dHash
|
4c226223656312b3 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06c08000000 |
|
VISUAL
cropResistant
|
2822632365a31293,83d3cb240000000c,9696969311531b59,8202020606060606,ae8c44113b6a9a4c,9f8d8d8c8f233265 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.