Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D131E2C418CD37472289E9A7F56B1BB6D1C309CB01098453F843EB47DFCA0DA25BA9 |
|
CONTENT
ssdeep
|
96:TksWgzeFMSftVSTkhUSPRhtcOpLwvFYQeNX7HFdeZXfHF2eVXyz/orGJ:QsWgzejCGf2Oplfp2pTczwA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a55a5aa5a389 |
|
VISUAL
aHash
|
fcfcfffcfce4ffff |
|
VISUAL
dHash
|
24100a1911090c00 |
|
VISUAL
wHash
|
d0e0c0c0c8c4ffff |
|
VISUAL
colorHash
|
07482000000 |
|
VISUAL
cropResistant
|
24100a1911090c00,48ef899f17878f9d,074f972ba3974d17 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)