Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7A37A33411935274437C6D130A55B3BE2E6995FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:7Ugw9sWLz4NP/y9svbliCdlxvBlFtiuCa28y2O9:qmA8Bm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538b52bb447 |
|
VISUAL
aHash
|
00607000000000ff |
|
VISUAL
dHash
|
9cc9c3cbcc3cc3c0 |
|
VISUAL
wHash
|
00fff371340038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c8c0800130308080,dcc9c3cbc9cc3cc2 |
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.
Pages with identical visual appearance (based on perceptual hash)