Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD23B73114C86B6B11C342C19350EB4BF3999044A23AC69EF1FE835A57C6F58E97ABDC |
|
CONTENT
ssdeep
|
1536:8soOPFDK6BtDsWSZsRy99vdfKUUXWpXxHxm62agWO:8FOP85nn22O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916ab8b1eeeb9490 |
|
VISUAL
aHash
|
ff0000006e6e4e4e |
|
VISUAL
dHash
|
71f0dcf0dcdc9cdc |
|
VISUAL
wHash
|
ff0030007e7e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0021416363490006,d28fcbcb8e8ec694,84c4c0b4a00e1c88,53c08390e0301cc6,5c4ea36064585a31,32d0d0e0dcdc9cdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)