Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111715463904A946B520A93D1C2F2F3A6E907D51ACFB00F90D9894BC7DA98FB5F07316D |
|
CONTENT
ssdeep
|
96:Cxv11/s4EoE0+7F/Cc7gPQaz1o3uxgmxbt:Cxt1/s4EoE0iF/Z7gPQaz1o34gQbt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399cc6699 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0032b2b2b232300c |
|
VISUAL
wHash
|
8199999999999981 |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
5434b1d9999c9d99,b6f6e67c25959684,0032b2b2b232300c |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)