Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E63D731A202243B511FE5E8F066A34ED013D70DC786DAD4B6B823A72BCEC71E9925DD |
|
CONTENT
ssdeep
|
768:7t01IXX/UdCuCm2UdEBoF2Y/V7Re8vi0iBoHvVbAoK2g9DNR9wsc2Ii2FZ2LZ2AA:7t6SX/Ud7vBtdxKgZRK/tb+pwLyryHG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94be5963e179c11a |
|
VISUAL
aHash
|
ffbfffe7e6000078 |
|
VISUAL
dHash
|
2e34348ecec88cd0 |
|
VISUAL
wHash
|
ffbfffc360000058 |
|
VISUAL
colorHash
|
0f640000000 |
|
VISUAL
cropResistant
|
966c3434948e0ec8,9a1954862c85ad29,e6e3a3e3c3ab2b3a,cc4cccccecececcc,2e34348ecec88cd0,060703050d0d0641 |
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 327 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)