Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8C29430F495BE3742A386E2B7A25BA773C49284C603055193FD838D9BFACE5DC2B644 |
|
CONTENT
ssdeep
|
384:hjQ/q7d9k9VSJc+U8JSAKAc6Xm+apuZT7q:hjQ/0mNOSEc620K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5526b2d56b6a349 |
|
VISUAL
aHash
|
00086e7e73030303 |
|
VISUAL
dHash
|
9ed3c8ccf6631747 |
|
VISUAL
wHash
|
40787e7e7f330303 |
|
VISUAL
colorHash
|
31400008040 |
|
VISUAL
cropResistant
|
a2da5af6f0a2a6b2,e0c0ccf8f0f0e0e0,06629c8e8e600602,c09b4d2eba187171,9ed3c8ccf6631747,0c32324d4db2b24d |
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 1118 techniques to evade detection by security scanners and make reverse engineering more difficult.