Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4C28531B100273B1197D3C9B351F35EE2E3A289DA56091653F9C76E4BE7E90CE2352A |
|
CONTENT
ssdeep
|
768:ye/y5NkqEr16jmeo0u7sOy2+y9BH4crIe:51Imf7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a910dc591 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044cc4c2cccdd300 |
|
VISUAL
wHash
|
80e6fa302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cc4c6c8cccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.