Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180E2C632D116683F07EB62D1EB75A35A23C943C9D947072A42FD874E0FEBC90EE164A5 |
|
CONTENT
ssdeep
|
384:uySdZyjZJIIo9IIIII9gGlB8fN90VOmV6wry02fKppW:pSdZyjZJIIUIIIIIyV9AtnG9CG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c1961c69e |
|
VISUAL
aHash
|
00e3f7eb3f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf1e4f0f0 |
|
VISUAL
wHash
|
00e1f7ef3f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3c2ee9c988c8c,0001c4c4c4800000,87cfcfcbf1e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)