Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BA38A33411935274037C6D530A55B3BE2A6DD9FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:NeXy5NcSnLz4NP3+mZY9svblTOCVr+KgttPwEFtiuCa28y2OZL:PnLz4NP/y9svbliCdkt7FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a9529c103 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
044cc6cacccde398 |
|
VISUAL
wHash
|
c0fefe30240071ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000a08138188090,940cc4c2ccccc5e3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)