Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F41967208605C7B92C3D5D1DBB5BA0BA1C7C686DB2B07821BF4C36D1ED4E80CD136A0 |
|
CONTENT
ssdeep
|
48:MJ2QHYfTwzwFI0fT51ULddTGKjJ0e2F044rZYcPK:u2zFt6Kq0A44dPK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2676c9cd88d9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
36cdb2b2b2320eb2 |
|
VISUAL
wHash
|
10307dfbf89b0279 |
|
VISUAL
colorHash
|
0e006000040 |
|
VISUAL
cropResistant
|
b6aa8ef2e2807153,36cdb2b2b2320eb2 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)