Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158510F31791C2D29F933C6F4E5513B1510E3E7EEC516B0414CAE4B720EDBDAAF82A8A4 |
|
CONTENT
ssdeep
|
48:b/OTCpB1/ul7oQDIdru8KVR3M09AkJ+0hSJGOSmLnQfgV51R30Fwoc/8dKGoZrcl:b4CR/ul7j09uNVR3M09AkATJGOSm8fgW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dda3668c993299c9 |
|
VISUAL
aHash
|
0000183838180000 |
|
VISUAL
dHash
|
200cb2b2b2320c20 |
|
VISUAL
wHash
|
f0f0fcfcfcf88000 |
|
VISUAL
colorHash
|
0e008030000 |
|
VISUAL
cropResistant
|
9e17555817157163,200cb2b2b2320c20 |
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 4002 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)