Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110F2DC306900ED2601DF9AC85672622A22F69389C65302C9FFF5C7F95B9FC6ECA33105 |
|
CONTENT
ssdeep
|
768:1HWIIIIIXsIx/j6TrTpMi3Uf79XGVH+K0Pm:ZWIIIIIXsIxOfTpMiI79Xxm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
953cd72cfc026d83 |
|
VISUAL
aHash
|
0000000018007eff |
|
VISUAL
dHash
|
643c7971b213f0c8 |
|
VISUAL
wHash
|
16870c3c1f007eff |
|
VISUAL
colorHash
|
31211000040 |
|
VISUAL
cropResistant
|
f0e8ccc8ece8aac0,646c7269b033f0e8 |
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 89 techniques to evade detection by security scanners and make reverse engineering more difficult.