Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168328233B600DD298DAB56CCF2C499895159D345FB314CCAB1A490BF7BC4CF069A93AD |
|
CONTENT
ssdeep
|
192:CiL3JQYceKcCeihRV3/9PbmoV4xLXlYXXMcnthWeNWbnfMmUU8VCo4Kb:Fc9cCeiz5/9PbrMGXIfMmUFCo4Kb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0f00f070f1f0ff0 |
|
VISUAL
aHash
|
00c0c8d8c0000001 |
|
VISUAL
dHash
|
9094929290890001 |
|
VISUAL
wHash
|
30d0d8d8d8c00001 |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
6060606180515140,9094929290890001 |
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.