Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D941E0708016DD2711A2C1D4E2B59F1F27828359DB030B62E3F8837E6EC9D68EF28894 |
|
CONTENT
ssdeep
|
24:htOupfpdMHCk8ghqyEgoIyST6jB7UTJxgURyPlEIn1w8gtEyU:+up8iOpEg7TyITJqHPmw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8103012a7e7e7e7e |
|
VISUAL
aHash
|
003f7fffffffffff |
|
VISUAL
dHash
|
d1d0c10080000080 |
|
VISUAL
wHash
|
00030fcfc0c0fdff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d1d0d00080000080,8040410141414080,13ec5c5c83c4b231 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)