Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E22B73F148AE33429342E4B151A68FA39F651ADBD4CD60FF9C84B9B7C1CA61D32198 |
|
CONTENT
ssdeep
|
768:fFTXjj7TDCiW26kuDS5WuanCk/J0F7rFTXjj7TD0IOAoAsKh0u5gsY:vanCJl9oAsKh04gsY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc4561ad3c131bb3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
80c0c82027223b3b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
869a1271f3266cdc,d827b6d6b09a9669,6c93a562363a198a,4846caa840202080,2727201323383b23,c02096c0d0c82020 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.