Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D373737B1103BA3B108385D1D318E79AE382D609D7A7994BD7EC831A77C6DE0DD352A8 |
|
CONTENT
ssdeep
|
1536:8mObDgzDcrv00jGldecC6oA01CkVBKvK0LxVuz8ul:67jOu6on1CkHK5El |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506c3e96d6b665 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0ccec23ce |
|
VISUAL
wHash
|
00003c7e7eff81f3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc33671c,84ebd393ccc8d4d4,4561417971690141,d325252cd0cd2d2c,82454d7171454500 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)