Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114427850B2A2213F76321BCCEAD9BF6EA292D04DD3C26E1291ED07FB8E57F049957015 |
|
CONTENT
ssdeep
|
192:jddddddddddddddddddddddddddddddddddddddddddddddddddNoF2j6FOjH6O0:RrL6exMYQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd33c0e5b2c5964 |
|
VISUAL
aHash
|
00ffffffff938380 |
|
VISUAL
dHash
|
a10d074345272626 |
|
VISUAL
wHash
|
00f7e7ffff010300 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8107074165272626,0000000000000000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)