Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3C1AD11D2417DD301238BD16736A9A7A6C04609CF17496062F94BEFF6BACF4CD2F698 |
|
CONTENT
ssdeep
|
48:pSZVOqKK4VDH3CF4DHR2DHWfMDHGF4DH3G2uZMReK3x5VIB0n3h5VwBuh5VnBKB8:Ip4bJxMRTN71meThtdbThF6UR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b065ce6496659b33 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3ef |
|
VISUAL
dHash
|
969696968e96961e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000008e00 |
|
VISUAL
cropResistant
|
969696968e96961e,36f8de262732c607,2b2b6bab692babeb,b2865455555d96a2,c4e0d8a8cd82e8e1 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)