Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1605397729142773F258342D19F2CD36EE3C1C6CDC7911697EADC836A62C7DA0EE29069 |
|
CONTENT
ssdeep
|
1536:EP/0/BXN5IYK126WQ68c6Qy6h/6su7Hxm/r8zdjVmc3ia1:L5dmYQ26WQ68c6Qy6h/6s/81 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968d38e3c3c9c3c9 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934ecdccccc3334 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
6934ecdccccc3334,7c270f4e5db13230,0f0f0f174323138b,b861c51ad89858e0,a2d6572fdd656f49 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)