Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7234A726332B8A843DB91EEFB382D45B2D2988DE8C74550F5C99A8D13C3C856197BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8HtRF4tDawkMjBewBMjBvCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKN:aq+EsZ/8HfOtDawkMjBewBMjBaN2/y91 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d63710c00 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
4d4d6d4d63710c00,cecc4cccbabe7260,40d2d29bafc6dac0,ecf1f151754c8806,fffffff6d6fedfdf |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)