Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154426133F600D8168E9B5188F2C4E6C95059D34AEF314DC6A1A482FF7BC5DF129A53AD |
|
CONTENT
ssdeep
|
192:9DdbdCmS8SUSISzDjmsx3/kElIG9xAMcnthWeNWbjK:zbdCmtF30Djmsx3MEa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b619221936787779 |
|
VISUAL
aHash
|
00ffbf979fbff7a7 |
|
VISUAL
dHash
|
ec406c2c3c604c4d |
|
VISUAL
wHash
|
003787878f9fa707 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
ec6c6c2c3c604c4d,2d2c2c2cac430880 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)