Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11454ED234214393A1133C2D421B55B7BE295D90FFAA70B454FECD7F72AEACE0E42A459 |
|
CONTENT
ssdeep
|
1536:G+0w+852x+Ge4efeQXPUAeZRTksPS9I2IEBa4QCo9AP1tGYUP+ufBvHSlhb+hB:G+0w+852x+HXPUAObJlA7aTB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec2493cb934b694b |
|
VISUAL
aHash
|
fff3f1f1f1f1f9ff |
|
VISUAL
dHash
|
4b27272727272316 |
|
VISUAL
wHash
|
e1d381d1d1d1998f |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
4b27272727272316,07c6520e06060e53,0bbcf4e8ecc8eef2 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.