Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158A37933415935274437C6D530A55B3BE2E68A5FFAE70A010EECD7EA2BFAC60744B11A |
|
CONTENT
ssdeep
|
1536:dluLz4NP/y9svbliCdkWyFtiuCa28y2O9:DgmA74 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372f43a9c69c143 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c0cc849cdcd15b0 |
|
VISUAL
wHash
|
00c4e0380f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2cc848e9cdcd09 |
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.