Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192A3DE234219792B4437C2C030BA5B3BD1A69A9FFAE709411EDDC7F62BFAC90741A51D |
|
CONTENT
ssdeep
|
1536:DtpR4nXBKpSpFl26vD9yxZsQc71SKwqwr:vUMk9yxZsQc71SKwqwr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d03d3137d2d |
|
VISUAL
aHash
|
00170f2e2e0f01ff |
|
VISUAL
dHash
|
dcbf3cdcdcbcf700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcbdf700,dcbf3cdcdcd8b777,d6991a8aa7464692,6a86c781a7a7a6ac,68000832320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)