Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4C2B93271006A3B41C792C9B322A32EE3E75249EB560615D1FDC3AD5BD3DE4DE2352A |
|
CONTENT
ssdeep
|
768:fScy5NE474xsVMqiI4jLq7sOy2+y9BH4crIe:u743Lq7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43add28d3c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
14ccc6c2c0cde100 |
|
VISUAL
wHash
|
00f7f2302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2c0c0cde1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)