Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC842BBC13011ABDB05B87E5F960F39EA12FD298DA93C90DF3EC82852BC6C98CD55594 |
|
CONTENT
ssdeep
|
1536:kUd0hdOc4NFfI/6P0rl1HoknsWiXAuq9FQwwioLDDgtY9wsWVA2yGfrlP0rl1Hoo:Bd0cPPYQooLDMGSA2yGDVPSRPlGYUt6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936c6c92306dcb97 |
|
VISUAL
aHash
|
00003c0c3e3c3e00 |
|
VISUAL
dHash
|
4969f959d879f8d5 |
|
VISUAL
wHash
|
003f3d3c7e3c7f00 |
|
VISUAL
colorHash
|
30002000180 |
|
VISUAL
cropResistant
|
66669eb6ac9880a1,4969f959d879f8d5 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.