Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186334B726631B8A842DF92EEE7382D49B2C6859DE8CB4550F1C996DD13C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:a++EsZ/8GaDVRcMjBzRRsMjB4DrpRXPZlQaQD9OehM+BrUgq4z:aLwRNRRCDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebc492926dc52dc9 |
|
VISUAL
aHash
|
fdfdf191919bfd81 |
|
VISUAL
dHash
|
4d59737333333921 |
|
VISUAL
wHash
|
fdf9f18181938d81 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
4d59737333333921,414211eaca494245,6e6c5c5f5dd70f13,45a498dc684b2445,4141414100000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)