Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C163847101866F3F208382D18359E75BD7C2D209D72B8AE6EBE8435B36C6DE4ED36524 |
|
CONTENT
ssdeep
|
1536:CRnRRjrHE3jTzlupqJ0RE5CjHIbd5kukGZfzJ2IcSQGI3D8AGKk3MPh4mqcrRa9t:kepJ7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d2f96d496b9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff91e3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c0c,968fe993c4c8dcd4,4551657171694541,00454d7171414541,61999922d99b8764,4b94d54b4e4a6a45 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)