Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A38933411975274437C6D130B95B3BE2E69E5FF9A70A010EECD7E62BFACA0744A11A |
|
CONTENT
ssdeep
|
1536:5Lz4NP/y9svbliCdQ3P6sBHFtSuCa2FG2Aw:ZmAHS+m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363ec1abd6d9045 |
|
VISUAL
aHash
|
00006000000470ff |
|
VISUAL
dHash
|
88c8cccad85cc3d8 |
|
VISUAL
wHash
|
006c70381c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
06798696968e6102,c20480815a1a8090,d8c8c4c8eadc5cc3 |
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.