Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6733F7212426A3F108386EA871DE35DD38AD70BC7A74946D7E8831B2797DE0ED351AC |
|
CONTENT
ssdeep
|
1536:mVsEczMDcem0A4mbeVPyB0VVG0Dzw+0dxVuz8B0:UGYOmzc90 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8528696366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd183331433270e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,c9cc368eac263351,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727008606,84edf1d38b2b1393 |
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.