Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166F27631A155AE3B80A7D2E5E3A5632B32D2938AC947030583FC83BD0FEBD94FD26555 |
|
CONTENT
ssdeep
|
768:P5JEFarxLrovIbfcDqWPoAdx/A7xfU3Ue2wCBQflo:h7ovIbfG3UyColo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83d53c35a59595c5 |
|
VISUAL
aHash
|
06006c6e6e040605 |
|
VISUAL
dHash
|
d699c8ccd86c4ecd |
|
VISUAL
wHash
|
42007c6e6e0eff0f |
|
VISUAL
colorHash
|
38e01000000 |
|
VISUAL
cropResistant
|
d699c8ccd86c4ecd |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.