Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3C2A732A004373B025BD3C9B365F35EA3E35289E74A092952F5836D4BF7E90DD1366A |
|
CONTENT
ssdeep
|
768:Z5e/y5Nx4fPUe05ES9e7sOy2+y9BH4cLIe:WUhEZ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9129c193 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cc4c2cccde300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6c8cccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.