Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AA3DD27421975264437C2C1346A5B7BD1A6D98FFBE609410EECCBFB2AF9C90742B21D |
|
CONTENT
ssdeep
|
768:OsKItpR4nXF6YjOpSpFlTC6rrWkmIK+tdvWBz4qo/f22:OxItpR4nXBKpSpFl26vPlXtV4zC22 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93036d13d30f6d0f |
|
VISUAL
aHash
|
001f076e6e0f01f7 |
|
VISUAL
dHash
|
d8bd7ddcdcfcf70f |
|
VISUAL
wHash
|
000f037f7f0f01f7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fc37dcdcdcbdf707,d8bd77dcdcdcb367,d5535bc51a19594d,472105170e3c3424,d8100c3232080001 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)