Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC23E93114C46F2B919343C4A311AB4BE3D68545E3B6994AF2FDC31A17C9E49D83BBAC |
|
CONTENT
ssdeep
|
768:sudk6BXI98cv8vHYemZO3gb2gM5kmwShsMcpZKf/uSOoRakHFEJrE:s2rBxcvsHYzZkgb2gM5kmwShsMcpZKnF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb894e2eb9487 |
|
VISUAL
aHash
|
ff000000367e5e46 |
|
VISUAL
dHash
|
71f0d4d0ecacbc9c |
|
VISUAL
wHash
|
ff0000007e7e7e7e |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0001816363890006,d495d35233173574,84c4d0b4881e1c8c,dde1616136373393,64682a643024271a,b6f0f0f8ddc79373,8989892b2b185351,b0d4d0ccecac9c9c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)