Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161A37933411935274437C6D530A95B3BD2E6D98FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:diKhUZWivTWPdPCLF25de+7YSY2duusFSAcR7eTcACLz4NP/y9svbliCdcZEFtiD:zjmAz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389d0cc703 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
044cccc2c8cda398 |
|
VISUAL
wHash
|
c0eef6200400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,940cccc6d8cccd23 |
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.