Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C372A8308246245E912FD2A86AB1678E233B8289E3420B5C57FE25B2F7CFDF054B75D5 |
|
CONTENT
ssdeep
|
192:a4Q7fu3D6CGIyQkpdAq2gxfYfc02KKZLMyLd+TspGFmfYfc02Kmler:DMdxgfc0XoMyR+g2mgfc0Xcer |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6a719b126b3338c |
|
VISUAL
aHash
|
e7f7e7e7e7ffff00 |
|
VISUAL
dHash
|
0c0c0c0c0c0c0030 |
|
VISUAL
wHash
|
e4e4c4c4040cff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c0c0c0c0c0028,0460790832320800 |
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 3009 techniques to evade detection by security scanners and make reverse engineering more difficult.