Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170419E708016DD2711A2D2D4E6B59F2F27868359DB430B62E3F8837E5EC9D68EF28494 |
|
CONTENT
ssdeep
|
24:htOupfpdMHCk8ghqyEfwh0IyST6jB7UTegURyPlEIn1w8gtEyU:+up8iOpEfqvTyITZHPmw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8103012a7e7e7e7e |
|
VISUAL
aHash
|
003f7fffffffffff |
|
VISUAL
dHash
|
d1d0c10080000080 |
|
VISUAL
wHash
|
000303c3c0c0fcff |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d1d0d00080000080,8040410141414080,13ec5c5c83c4b231 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)