Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA3DD23421929274437C2D1346A5F3BD1A6DA5FFAE709410EECC7FA2BF9C90B42B519 |
|
CONTENT
ssdeep
|
768:WUihtpR4nXF6YjOpSpFlTC6rrWXaepCy4YRd7cMQglOsA:WThtpR4nXBKpSpFl26v9epC/YbMglOh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9753e93838cce961 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
1ccccc5c9c0c002b |
|
VISUAL
wHash
|
00062c0604ffffff |
|
VISUAL
colorHash
|
0b000000c40 |
|
VISUAL
cropResistant
|
4852dacb15202080,0000408080400000,000041a121410000,00204080a0004080,8a962c82b66284a4,0c000956562b3b2b,914ccccccc7c9c1c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.