Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A37A33411975274037C6D530A55B3BE2E68A4FFAA70A014EECD7FA2BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:EOjDLz4NP/y9svbliCdhTBhKdouKFtWAuCa2OX2ZP4:fjfmAaBhKdouQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bd3ab838c43a |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
48c8c0c0c8c4d388 |
|
VISUAL
wHash
|
007070706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,1dc8c8c0c8c8c4d0 |
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.