Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130D140E0C004ED3B071385D9E7B96B0B77D1C35ACF060945A3F883AB9BDAC60CB25699 |
|
CONTENT
ssdeep
|
96:Tkin7H71t3U4Qdt7daGUwvFoeJXOHFKeFXuX/fOzYoJ:Qin7H71lUXdraGF4TYX0f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc33994ccc |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0c0c184a4a000800 |
|
VISUAL
wHash
|
e7e7e7e70f0f0000 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
0c0c0c184a000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)