Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119423133B600CC2A499B95CCF6C0AA49015EC346FB3149CAB1A491BFBBC5DF06995BDD |
|
CONTENT
ssdeep
|
192:PBhn3YcPcZch8Ls7phWjly6IUxDYeSSrMcnthWeNWbnfMmUU8VCox:QcPcZches9MRHkfMmUFCox |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9b9a9c2c6c6465 |
|
VISUAL
aHash
|
3c3c3c0000000000 |
|
VISUAL
dHash
|
7169690648000000 |
|
VISUAL
wHash
|
fcfcfcfc00000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
72726892a29a98e2,7169690648000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.