Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A325273B600CD2A8D9B56CCF2C09649445EC346FB3148CA61A481FF7BD4DF069997AE |
|
CONTENT
ssdeep
|
192:iURRmYcbcccmIM8aF0zs0sO0mN0az7McnthWeNWbnfMmUU8VCoUd:LcbcccmI1aFjSHH0fMmUFCoy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38ccc33cc3333cc |
|
VISUAL
aHash
|
ffcfc7e7e7c7effe |
|
VISUAL
dHash
|
00181c0c045e1800 |
|
VISUAL
wHash
|
fcece4e40707253c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00181c0c045e1800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)