Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198A11F30D8141832616BC9D5FBE017AF769B970DCA73079A42F843A61FD8CB8DC8919A |
|
CONTENT
ssdeep
|
96:ToP09TBn9YLfqtfMLPCR7uwm7jDmMZ0uf3Ebxgg:X9TVMbC5uzd0ufUbyg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666cccccc66cc8c |
|
VISUAL
aHash
|
e7e7e7e7ffffffff |
|
VISUAL
dHash
|
4d4d4d4d4c300800 |
|
VISUAL
wHash
|
c0c0e0e003030f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d4d4d4d4c300800,0000000000000000,0000000000000000,0000000000000000,0000000000000000,0000000000000000,0000000000000000,0000000000000000,0000000000000000 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.