Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116037370F4A0896A065342D0F7F7E759026DA282DF100CF9A3ED076B97D6E5CA79F209 |
|
CONTENT
ssdeep
|
384:lUaSxonj2zXIexn5cnPzWKIEIPYLARI2elXb0IggInrMEKVegz:KaSxojcXIe9iSiL2gqY06 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
866d6938a6676d83 |
|
VISUAL
aHash
|
000c3c363e3c2c04 |
|
VISUAL
dHash
|
67d8e8e4ece9c8cc |
|
VISUAL
wHash
|
013e3e3e3e3e2e06 |
|
VISUAL
colorHash
|
1b180001000 |
|
VISUAL
cropResistant
|
8aa736ac74347582,6d4d694b55564a4b,b2ba2aba8b8bdbdb,eac2864849b991e2,592f4b4d2e7a7b44,12125445abd555ab,8222222242d20282,67d8e8e4ece9c8cc |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.