Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13403D870C2E15A2F16EB81C0DF322B2B63D542CDEA434A5551FF8BA69BDFE11DE20494 |
|
CONTENT
ssdeep
|
768:j7f69kpek1wmNP9kpekaym/a1BFdOlGqdLehKTCo53cTGOAYYb+iY:ff69kpek1wmNP9kpekaRMVOF6Kb53cTV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93993c6c6c6929a |
|
VISUAL
aHash
|
c3c3c3c3f3ffffff |
|
VISUAL
dHash
|
969a9a96a6961e0e |
|
VISUAL
wHash
|
c30081c3c3f3e7e7 |
|
VISUAL
colorHash
|
0ec00000040 |
|
VISUAL
cropResistant
|
969a9a96a6961e0e,d8b37166a89ab9d1,5959595834744a48 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)