Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8A3CC2341597A2B4437C3D0346A5B3BD1A6999FFAE70A004EECC7F72BF9CA0745A119 |
|
CONTENT
ssdeep
|
1536:gStpR4nXBKpSpFl26vXSZ6DFBKPjHxDPIOCI8:PUMOX2jHFXCI8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d05d31b7d2d |
|
VISUAL
aHash
|
00170f2e3e0f01ff |
|
VISUAL
dHash
|
dcbf3cdcdcbcf700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcbdf700,9cbf39dcdcfcb777,9a536383251bd1cd,6e878b81a7a7a68c,68000032320c21d4 |
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.