Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149E26632F188273B42A792C87720272FB2D3838DEA96691153FD479E1BE7E10DD53516 |
|
CONTENT
ssdeep
|
768:3kGLplKWhCPhulVzSahUl7sOy2+y9BH4c1Ie:Dfha57sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372f43a904dc5c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0c4849cdcdb300 |
|
VISUAL
wHash
|
00c4f0202f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0c4840d9cdcd31 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.