Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAF22020A900ED2601DF99C8A672576672F54345C6230A98FAF4C3FA6BEFC7DCA33155 |
|
CONTENT
ssdeep
|
768:5PbsIx/jjb/bEbGWhbwb2cb8uFbSLPf5auUf79F:5PbsIxfb/bEblhbwbpb5FbSLPf5ah79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c209f912bd137ea9 |
|
VISUAL
aHash
|
0038383c34347eff |
|
VISUAL
dHash
|
d4f0eae8edede82a |
|
VISUAL
wHash
|
003c783c34147fff |
|
VISUAL
colorHash
|
06003030000 |
|
VISUAL
cropResistant
|
f0eae8e8ededab2a,d0d0aae8e8ededcc |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.