Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182327233A500DD2A8DAB558CF1C09A88425ED345FB314CCAB1A091BF7BC4DF069AA39D |
|
CONTENT
ssdeep
|
192:LcRcYcOcich7uCuPxAPxbzcMcnthWeNWbJKsI1DfMmUU8VCoI:ucOcich7uCjzdKsI1DfMmUFCoI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6d254d4d855f245 |
|
VISUAL
aHash
|
feffffffffff0000 |
|
VISUAL
dHash
|
0c0c0c3000196267 |
|
VISUAL
wHash
|
e4e7e7ffff000000 |
|
VISUAL
colorHash
|
0f0010000d0 |
|
VISUAL
cropResistant
|
0c0c0c0c00080004,4545bbd8dcf0174d,070d7256e6761d1f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.