Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D124133E600DD2A49AB46C8F5C4958C411EC386FB3148C6B1A491FF7BC4DF1AAA979D |
|
CONTENT
ssdeep
|
192:JZU4dq+vjfxmcxKMcnthWeNWbxfMmUU8VCoX/:dq+vfMmUFCoX/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c7cd389392 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
270b1b3b03000200 |
|
VISUAL
wHash
|
0000000081fffffe |
|
VISUAL
colorHash
|
07042006000 |
|
VISUAL
cropResistant
|
270b1b3b03000200,5669292929232929,1c1c5c5c5b1af060 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.