Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6F34B746204797B656387E2B0FEB716F13EC30AD80F4814B368D57563EDC4AA863B98 |
|
CONTENT
ssdeep
|
1536:c3z5QgOjfuZY5+c4uL4kUM9bjOQwvhJYQ+FVU4iTLqN32sw02TCyPety0QAmbh2E:cjTM9bjOPzXXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92d26d6d2d31319e |
|
VISUAL
aHash
|
027c6c6c00001818 |
|
VISUAL
dHash
|
d6e9c9c9c7b0b1f1 |
|
VISUAL
wHash
|
1e7c7f6f2408183d |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
64e4a2b3138b2d1f,d6e9c9c9c7b0b1f1 |
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.