Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9E14FE1D040ED37475386D9A7B66B0BB391C349CF07094493F883AB5BDAC60CB1669E |
|
CONTENT
ssdeep
|
192:QhnbzDt1adt8iIGAryYMOVuXW2Wx8zfqn:QhZS1ZArLMOkGZSqn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edac129a6dbc129a |
|
VISUAL
aHash
|
fffffffbfbffff00 |
|
VISUAL
dHash
|
2206041602080000 |
|
VISUAL
wHash
|
9cf0f0f00b0f3f00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2202040612000000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.