Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176D132E0D444DD3B435385D8A7F66B0B77A6C349CF02094493F883AB9BCECA0CB16699 |
|
CONTENT
ssdeep
|
96:TkCFAwHmiWSTNtL9Vp8wEfFkNkX/HFQRYX0HF8MDXRX/Q5R:QoAwHHRR9UwEfatHdXO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4c4ec38c4c6 |
|
VISUAL
aHash
|
0f0f0f0fffffffff |
|
VISUAL
dHash
|
3b585a3900000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3b585a3900000000,526b252f354d132b,53548ab6b22a5251,25fadad4e6e8fa11 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.