Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154E2F130A004AA370193A2E263395B5EA2F1D354DE232619B6F9C31D1FE7DA4CF56379 |
|
CONTENT
ssdeep
|
768:MHpMDoYHJtEaknT7sLvPyBIp5eiZJLDw04qIk9q2/e6KK+2PhAEVcAOR3A6i:YooYHJtEaknT7sLvPyBIp5eiZJLDw04A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a75f1aa36f50a16 |
|
VISUAL
aHash
|
0000000001ffff00 |
|
VISUAL
dHash
|
0bd1e05665639ac5 |
|
VISUAL
wHash
|
c1c0280001ffffff |
|
VISUAL
colorHash
|
120010001c0 |
|
VISUAL
cropResistant
|
654d6d61d30b00a3,2a8bf1e8525d6563,e1e1c1e1e1d9c9c9 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.