Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0B37B33411835274437C6D530A65B3BE2A6995FFAE70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:niLz4NP/y9svbliCd0uMB3FtiuCa28y2O9:MmA70 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1eed63c302 |
|
VISUAL
aHash
|
00006000000004ff |
|
VISUAL
dHash
|
d28cc8c2cacccc88 |
|
VISUAL
wHash
|
0064fc707024feff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,c08cc8cac2c8cccc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.