Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CB2F73171219E3A416796E572FAD74623E5E384DA420385C3ED83FD0BEEC64FA23685 |
|
CONTENT
ssdeep
|
384:XxDJX58lX9YIC/RLxfqfgJezsW5TvHpOReSJR3r/pCIPriQ:XxDXAKRqTIReE3r/hrV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
969669e93239e949 |
|
VISUAL
aHash
|
063e0e0e06ff0000 |
|
VISUAL
dHash
|
8ccccc8cec32c8cc |
|
VISUAL
wHash
|
067e3e0e0eff380c |
|
VISUAL
colorHash
|
0201e000000 |
|
VISUAL
cropResistant
|
7b67c56660f80d65,d0085332240912a0,8cccecccccccecec,e4dcc8e498c8e5cc |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)