Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159635423D3531912A07BC1D8F072478D2291878DC7134B79A7BD63BAB9CEDB63612399 |
|
CONTENT
ssdeep
|
1536:MFcAYYWJK0e3eA2FyzEf0Q57rl4pTMxHwekJReeeVdeeeadtemsEHKBYOkeGJidk:ZYVE57rl4p1PmnqRq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c26d6c7397939807 |
|
VISUAL
aHash
|
00c0747c2c7c7c7c |
|
VISUAL
dHash
|
0aa7c5cdcc9dcddc |
|
VISUAL
wHash
|
0041747e2cfd7c7c |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
0aa7c5cdcc9dcddc,6448b2fa14152d29,63ababab266d6996 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)