Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124342AF8536883F4D6864BE4ED711945336910FFBBA48788C3618DE0F9B26CE9479CA1 |
|
CONTENT
ssdeep
|
3072:RZ1L1XTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1D1:JBG7jDw/47g7/tV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a39654e67719a34 |
|
VISUAL
aHash
|
00081c1c1c3c1c24 |
|
VISUAL
dHash
|
46f1b1f979f1f06d |
|
VISUAL
wHash
|
001c5e3c3c3c3cff |
|
VISUAL
colorHash
|
1a400010040 |
|
VISUAL
cropResistant
|
63e3a0a3a7a02021,46f1b1f979f1f06d |
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 526 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)