Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B19309BA1345263E104382F1E318B72AD381EA4AD7238D96F7FC8313E5C9DE89D39595 |
|
CONTENT
ssdeep
|
768:FGsVsd0k4wwLgAbg4rQkXT8s4Mw4EL3OsVsd0k4wwLgAbg4rQkXT8s4Mw4EL3uTH:DQBTn0Igo0uXuUbKCOMQU0WOm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ee7c3b0189698 |
|
VISUAL
aHash
|
eb819f9fdfffffff |
|
VISUAL
dHash
|
4b2b3430b454300d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3430b454300d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)