Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145E1FDE0D444ED37035385D9E7BA6B1BB7A1C359CB03094593F883AB5BCACA0CE25699 |
|
CONTENT
ssdeep
|
96:Tk4N2D2T22bzD71tDvnt8v67MYdM26b8ct9xwvFjQeBXgHFNeNXJz/r2fCj2J:Qc6OdbzD715ft8iICM22/Siibzz2ow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce64e4ccc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0808100c08100000 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00080808140c0c00,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.