Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A32B653840CA59A0E9543869E30BF9EDB1810ECBBDD1BF8F195C1EFAAD2660CC32D55 |
|
CONTENT
ssdeep
|
192:EKPvOvwEs+xrbQuoNxkFj1E2hFm/6yxLP0dfEwbv+nvHvM:Yzc2c2zm/60+v+nvHvM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a649735966781b39 |
|
VISUAL
aHash
|
00fffff7ffffe7e7 |
|
VISUAL
dHash
|
26665866667a0c4c |
|
VISUAL
wHash
|
00bb83b3bf878783 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
624e66665a7a0c4c,000241262621c200,042ad5f4f6500540,020a057313826004 |
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.