Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB17491E114AC37170B05E4A0EB7E1860FBC35AC714382992F40EE79BD6F40CB75EAA |
|
CONTENT
ssdeep
|
96:n1n2HnRWun4dcuquz44Do3aN3BF/W6czL2/B9J:1+nrnxODezq7J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc33676631cc3333 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
083232323232320c |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
20aaaad5e6a2b424,083232323232320c |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)