Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E92EA337184852E4E9B92FCEF88BB66658ED149F731D49269F9817FDA00C9C382476C |
|
CONTENT
ssdeep
|
384:dSMHD5ZS1NNxgTOrZFB7nkchgkNJt2fpnEaiMXEPa4nSDJBwekcWn96l16NfMmUx:dSMHPSFxgTOrzBzkchgWJt2fpnEbMXEW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b99bc4646464d793 |
|
VISUAL
aHash
|
c3cbcbc3c3c3c3c3 |
|
VISUAL
dHash
|
233b3b2b2b2b2b23 |
|
VISUAL
wHash
|
c3c38b8383838383 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
0202020202020202,a0a0a0a0a0a0a0a5,fefdf5e1f1f3e6e0,343038383cbc9899,49dadac891896961 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.