Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB235B726722B4B883DB91DEFB382D56B2D1988DF8C74454B5C95A8D13C3C817287BB4 |
|
CONTENT
ssdeep
|
768:aD3Xc+EsZx8/G8FRF4JDawuMSBlw+MSBQwZqN2/y9dGDTDiJE56ITmH+LCBlvNP1:aD3Xc+EsZ/8HOJDawuMSBlw+MSBQw0NH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfca70c57095f0b0 |
|
VISUAL
aHash
|
8181818185bd8f81 |
|
VISUAL
dHash
|
7969696969697d7f |
|
VISUAL
wHash
|
9f8181858dbf9f81 |
|
VISUAL
colorHash
|
01003000180 |
|
VISUAL
cropResistant
|
7969696969697d7f,fdedddcdddcdfdff |
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.