Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B952DD8A51432D2BB1135CE4FD02E3CF61CDD609DEB3A68A63F59052ABCBC81D565A38 |
|
CONTENT
ssdeep
|
384:dk+jFA/AEMihmwS+bGmz3kgcPeNPTdcV2+wMIRmPqzMm/yOZpgZl4Jw:dk+jFA/AEMihmwSFmz3kgcPeNPTdcV2G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef1312437b253cc9 |
|
VISUAL
aHash
|
00000083f9f3f3ff |
|
VISUAL
dHash
|
4dc9a6462b272733 |
|
VISUAL
wHash
|
000011a3e1fff7fd |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
4dc9a6462b272733 |
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 222 techniques to evade detection by security scanners and make reverse engineering more difficult.