Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162226233E600CD2A8DAB96CCF2C095894119C345FB3148C6B1A491FF7BC4DF069A97AD |
|
CONTENT
ssdeep
|
192:dn3Jcdcw+GKJlU3Ox9McnthWeNWbC8qcl/VfMmUU8VCo3:4c/Jp8Dl/VfMmUFCo3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
980ff71c0ee3383c |
|
VISUAL
aHash
|
1f0f0f1f1f1fffff |
|
VISUAL
dHash
|
7cfcddf0f4b400b0 |
|
VISUAL
wHash
|
0000040c0f0f0f0e |
|
VISUAL
colorHash
|
0ec00000000 |
|
VISUAL
cropResistant
|
7cfcddf0f4b400b0,56ee1cd8d63ec773 |
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.