Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB832AA43A59F5A25AF3439320DF1503B338152B540E4D206351EDAEB2BDC9BA077FDA |
|
CONTENT
ssdeep
|
1536:pTVq53QlHxh8N6g8XXhjaPnQWT+960uJ+pic:pTj/mN6ZXt1967+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bce6431c63333cc |
|
VISUAL
aHash
|
00183c3c3c000000 |
|
VISUAL
dHash
|
04706969710e3230 |
|
VISUAL
wHash
|
003c3c3c3c181818 |
|
VISUAL
colorHash
|
38000010080 |
|
VISUAL
cropResistant
|
98c696370b93c092,04706969710e3230,23357571ce0c4b14 |
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.
Pages with identical visual appearance (based on perceptual hash)