Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114A24130D040693B018397D5A7326B5FB3E2828ACE634B4563F8C72E9FDBE96CD16564 |
|
CONTENT
ssdeep
|
192:lwXUOpxBZm3n1RlBMBBKWab90hI7hMWJhqzhHylb4tdY1+ipgX8RneFhruIfA:lw/3E1RrMuWab+GbiXCneLuIfA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ceace09be62946 |
|
VISUAL
aHash
|
ffff000c0c48f60f |
|
VISUAL
dHash
|
12b46858d898843c |
|
VISUAL
wHash
|
ffff200c0c40f60f |
|
VISUAL
colorHash
|
06400010000 |
|
VISUAL
cropResistant
|
12b46858d898843c,97e7d21b3d181838,b2a4646e4e4cccc8,925018980462c8cc,0c06990f0f232d2e,612d3733cc4c4c4e |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.