Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF41C0708016DD2711A2D1D4E6B59F2F27828359DB030B62E3F8837E5EC9C68EF29494 |
|
CONTENT
ssdeep
|
24:htOupfpdMHCk8ghqyEYEfIyST6jB7UTzl4XgURyPlEIn1w8gtEyU:+up8iOpEvaTyITxHPmw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8103012a7e7e7e7e |
|
VISUAL
aHash
|
003f7fffffffffff |
|
VISUAL
dHash
|
d1d0c10080000080 |
|
VISUAL
wHash
|
000100c00f0fffff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d1d0d00080000080,8040410145414080,13ec5c5c83c4b231 |
Fake Serasa page designed to appear in search results and trick users into visiting. May redirect to credential harvesting pages, malware downloads, or serve as a trust-building step before requesting sensitive information.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)