Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D643743172113537032B46D1BA65674E6293D29DC80720A087FFD3EA6BEBCE5BC1B619 |
|
CONTENT
ssdeep
|
1536:nthk9gjdmanvS0yUzCayYjCP5Db5LaRV/16yzjVlY:YlmvS0yUzCayYjCtlab16cg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9496992a394e73c |
|
VISUAL
aHash
|
7810f1ffdfeb9fe1 |
|
VISUAL
dHash
|
e32313282b0b3a0b |
|
VISUAL
wHash
|
0000f0ffdfe38be1 |
|
VISUAL
colorHash
|
07400000c00 |
|
VISUAL
cropResistant
|
e32313282b0b3a0b |
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.