Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14473C760BA126426319F42CFD227271D22D2EBCDCB9266F851F4476497F5DE0BFA2390 |
|
CONTENT
ssdeep
|
768:3uPvQQTJZzSwd4tMG1mpbMRgIAM+YDWQRa49cU:ePjTOAM+8WQRaLU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999cc9999366669 |
|
VISUAL
aHash
|
1c18000c18001818 |
|
VISUAL
dHash
|
71710e595a123030 |
|
VISUAL
wHash
|
3c3c043e28003c3c |
|
VISUAL
colorHash
|
38201000082 |
|
VISUAL
cropResistant
|
f46c6925b6233190,71710e595a123030 |
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 493 techniques to evade detection by security scanners and make reverse engineering more difficult.