Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BE18C36B5023C67493389E1E9CAAF14B0A6773DC6099914A3F8035D2FCADF1A928735 |
|
CONTENT
ssdeep
|
192:VKlvPSg4Db1gSbopcdVHwDMfDVH18L3I1rAW+wt1ZvEr:8R4PUpcrHgM7VUim7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38c33cc33cc99cc |
|
VISUAL
aHash
|
27273fe7e7ffe7e7 |
|
VISUAL
dHash
|
4d4d724d4c908c4c |
|
VISUAL
wHash
|
07071f0707fcece4 |
|
VISUAL
colorHash
|
07002030000 |
|
VISUAL
cropResistant
|
4d4d724d4c908c4c,019158441cdada3c |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.