Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FA38933411935274437C6D130A55B3BE2A6D95FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:i2/H8pmffo030+EJrSXiyz9NHVP+pu/U5egJk/cLz4NP/y9svbliCdvowNFtiuCT:YmAlw+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d53ab529b44d |
|
VISUAL
aHash
|
00607000000000ff |
|
VISUAL
dHash
|
cccdc3cbcc0cd3f0 |
|
VISUAL
wHash
|
20fffb71240030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080c12030808080,cccdc3cbc9ccacd3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.