Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BA38A33411935274037C6D530A55B3BE2E69A5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:rU1Lz4NP/y9svbliCdZnUYFtiuCa28y2O9:otmAlL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36ab529ed42c732 |
|
VISUAL
aHash
|
00002420000004ff |
|
VISUAL
dHash
|
c41cecc0c8c8cc9c |
|
VISUAL
wHash
|
00007c7c3838ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc16ecc0d0c0c8cc |
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.