Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112234A72A332B86843DB92EEE7382D45B2C2999DE8C74550F5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G82awKaI43Daw+Mu/Buaow0Mu/Buak7Ucix+y9dQpUDF1E56ITmH+LB:aZ+EsZ/8KZ3Daw+MkBgw0MkB87UXx+ys |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d4d4d63710000 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
4d4d4d4d63710000,cecc4cccbabe7260,40d2d29bafd6d2c4,ecf1f151754c8806,fffffff5c6fedfdf |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)