Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199E2F067A8AADB3F072B09D590B61F2770F1C298E5461848D3FC52F86BD9C047C1A5EB |
|
CONTENT
ssdeep
|
768:o5aeUJJFR8VICkmLZC6L1HA/BtfbnggP9uJlE:QCJJFR8VICkeZC6LKZV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c3cec9c36339 |
|
VISUAL
aHash
|
f9878b8f9fd7cfcf |
|
VISUAL
dHash
|
23373b3237371e18 |
|
VISUAL
wHash
|
b9818b8b93838f8f |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
23373b3237371e18 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.