Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D552FC6851414B3752E340D9FBF11B2753CAC2C5C2078B8906FE41299FEEDAACD79AD8 |
|
CONTENT
ssdeep
|
384:3EFjipB4fVsyBNT7AjmoP/LL1lwntuAmwb3zB2k0UQspS:316ZUmoHjUlLwUQspS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec939364936c6639 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3ff |
|
VISUAL
dHash
|
8e98969696a69696 |
|
VISUAL
wHash
|
424e434342424246 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
8e98969696a69696,9e9bd78787f4eded,139184909497d5c0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.