Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D0220E1C054ED3A436286D9FBF56B5B76A1C389CF06094453F443ABABCBCA0CF12599 |
|
CONTENT
ssdeep
|
96:TkPSnSgzYh7MSfuST5/tb8v67MlIXdtw7mwvFSeBXiHF7eSUXQHFBe5X8X/ihhdZ:QvgzYhhjll8iIlYdKlMkm+mX8hdr8c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4659a9a9336c78c |
|
VISUAL
aHash
|
ffc3c3c3fbffdfff |
|
VISUAL
dHash
|
3096868622103026 |
|
VISUAL
wHash
|
00c3c3c3c3cfcfc3 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
3096868622103026,60139bc34b5b1b4b |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)