Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBA38A33411935274437C2D530A55B3BE2E69A9FFAE70A010EECD7EA2BFAC60745711A |
|
CONTENT
ssdeep
|
1536:bUZLz4NP/y9svbliCdxxA3FtiuCa28y2O9:g5mA0xH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d672d5329169c54d |
|
VISUAL
aHash
|
00000000000010ff |
|
VISUAL
dHash
|
1c2c4059cdcf61f8 |
|
VISUAL
wHash
|
00c4f8300707ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c2cc040d9cd0f61 |
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.