Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEA38833411935274437C6D530A95B3BE2E69A5FFDE70A010EECD7EA1BFACA0744A11A |
|
CONTENT
ssdeep
|
1536:BLz4NP/y9svbliCdwVQJ7Di+eSFt1uCa2iG2As:BmAh1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c333bc6cc543931e |
|
VISUAL
aHash
|
0000042020002cff |
|
VISUAL
dHash
|
c0ccc8c8c0c0cc98 |
|
VISUAL
wHash
|
00006e6c7838ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
000080015a5a8090,ccd6c8c8c0e0d8cc |
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.