Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE547A33421935260537C6D430B95B3BD2A6DE5FFAA70B010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:/mJBIIctsEJPjQBq1Wixx2w6vt8VPB6RxknNucRR0uUs9x2UdP38NEfoUrbkUtis:kgLqnQ6uTF2ni |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec9d32c3c7d23286 |
|
VISUAL
aHash
|
ff9999f9f9c18181 |
|
VISUAL
dHash
|
4333333363134727 |
|
VISUAL
wHash
|
ff9999f1b1c18181 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4333333363134727 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)