Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACE121E1D004DD37435286E9A7FA6B1B76D1C359CF03094493F883AF5BDEC60DA22A99 |
|
CONTENT
ssdeep
|
96:Tkf21DtSTBJ8v67Gx6AFtGlFOAADXzHFdaXbHF3+XPtz/rYYQzEmST5J:Qf21DcD8ibYtGGZvgMtz8pzEDb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c858f27270d81cbf |
|
VISUAL
aHash
|
000018000000ffff |
|
VISUAL
dHash
|
189032b214f04800 |
|
VISUAL
wHash
|
e000181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
92926a9495d51b1b,41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a2b28c32b2b2b2,0000000000000000,108c72b2b23022f0 |
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)