Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FED393D55618038CA147CA7DEF2FFE05131FB1AABA5586802A4EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:gQNv0RQ7HG7U+ZVmxXB2kgc1ztsxjahe2dQv9slFsR8MLqcvXFsR8MLqcMT0:NNv0RQ7H0UWVmxXAkgc1zts1aYl99GN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83b67c396b69092 |
|
VISUAL
aHash
|
81818f8fdfcfd3c3 |
|
VISUAL
dHash
|
23333f3b39171716 |
|
VISUAL
wHash
|
8181878fcfc7c3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
23333f3b39171716,045a707171690c12 |
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 145 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)