Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5A3DD234219762B4433C3C130699B3BD1B69A9FFEE709405EDCCBF62AFAC90745A519 |
|
CONTENT
ssdeep
|
1536:oytpR4nXBKpSpFl26v0uw0W3v6sWZrqwl:omUMhuw0W3v6sWZrqwl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d03171b7d0d |
|
VISUAL
aHash
|
001f0f3e3f0f01e7 |
|
VISUAL
dHash
|
dcbf5cfcdc98b31f |
|
VISUAL
wHash
|
000f0f3f3f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cfcdcb9f30f,dcbf3cfcdcd8b377,89aa13916327a3c9,65074b456367666d,68100c32320c21d4 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.