Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1610246BD95A01036C2635CDB3431134E65CED00EC807ADE5ABB8D3C7AEE6E85650A76F |
|
CONTENT
ssdeep
|
192:aHjEp04jO70ieEjlXB37ynUQWZH2YaJ23qeUMkUOM:BTKbLaut |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb36c9146bcc146b |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
b7cdcde54fbc0313 |
|
VISUAL
wHash
|
1f07000000ffffff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
bfefcdedf56dcdcb,d280039393831313,efcdedf5edcfcbb4 |
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.