Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186039533504228BB0197A2E5A520576B73C0B696DF234B5293F48F49DEEFDB2DD25A30 |
|
CONTENT
ssdeep
|
384:ATfgNBXELiy/Y+nPacLJKdFhuSSJ1VdhrJCjYLFl:yuZELk+Cu4uS0ztLFl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8603ff38e17e8178 |
|
VISUAL
aHash
|
ff100000000000ff |
|
VISUAL
dHash
|
61e0e0e0e0e02023 |
|
VISUAL
wHash
|
ff38183c18109cff |
|
VISUAL
colorHash
|
010020001c0 |
|
VISUAL
cropResistant
|
4000646b634200e0,20209b13c0000000,0000209090904000,e0e0e0e0e0e0e020 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.