Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17694A520A354127600E7B7E5F672BF8DA240D382DE560DC5C2E94EA6B7E7E60EC4D394 |
|
CONTENT
ssdeep
|
6144:g64KnaE0TYKnaENTYKnaENTYKnaENTYKnaENTYKnaENTYKnaEv:vEE+AE1AE1AE1AE1AE1AEv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807e7f7f78c8c0c0 |
|
VISUAL
aHash
|
00007f7f7f7f7f7f |
|
VISUAL
dHash
|
a5c680c0c0c0c0e0 |
|
VISUAL
wHash
|
0001737340000000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
020301b1f1010208,de809080c0c0c0e0,00088484a4a45000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.