Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6A36933411935274437C6D130A55B3BE2A69E5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:vfLz4NP/y9svbliCdoYJFtWAuCa2nX2ZG:LmAbS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439231ed34eca6 |
|
VISUAL
aHash
|
003c20000000eeff |
|
VISUAL
dHash
|
dcc9ecccc8c8cc20 |
|
VISUAL
wHash
|
227c74206044ffff |
|
VISUAL
colorHash
|
31000008c00 |
|
VISUAL
cropResistant
|
ffffcf9e96dfffff,00000000303080a0,dcc9c8ccc8c8c8cc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.