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HTB Socket Walkthrough
/in General NewsAnd welcome back, my friends, to this relatively simple but very interesting BOX, with a small reverse engineering section that I love so much and that I hope you will, too. Also interesting is the part about privesc, in which ChatGPT, as has recently happened, had a small contribution. But let’s not get lost in chatter, and let’s get started.
The nmap scan:
OK. The usual portal seems to have an unusual domain for an HTB BOX. Let’s add it in the /etc/hosts file and try to navigate it.
Wappalyzer identifies the technologies used in the portal, but at the moment, this information cannot help me that much.
The portal displays QRCode conversion and processing functions. There are also two versions of the system in a software format for windows and linux that can be downloaded and use4d from a local computer. It looks like my first investigation will be one of my favorite activities, a good reverse engineering session. But first, let’s start the program to understand at least the basic operation.
The program is a user interface system. If we try the sample file supplied with the executable, it is possible to trace the text contained within the QRCode.
Let’s immediately disassemble the application to understand if there is something hidden inside that can be useful. The program initialization block (you can reach it by clicking on the start function in the appropriate box) shows that the application main is started.
So let’s move to main (always selecting the function from the appropriate box) and following the “jmp” to the specific address. We find ourselves in the heart of the application.
Looking at the flow itself, I understand that it could take me a long time just to understand what it does by reading the code (branches are enough), so I start debugging and follow a single flow, at least I’m sure I will quickly analyze the correct flow.
Going with the flow, I soon get to a function call that immediately displays the dialog. Strangely, the variable preceding it points to the executable I’m already debugging.
I restarted and proceeded with a new debug, this time by entering the function that started the app form. Apparently, an application forks.
We should have two processes of the same app.
A block of code later, however, waits for the second thread to exit.
Since I can’t do much in this instance, it will be better to start the app without debugging and stick to the process being started.
Once started, we check who is the father of whom. The ID of the process should suffice (the older one is the child), but we leave nothing to chance.
OK. The opening and writing functions should use some imported standard IO functions, but I can’t find anything in the import section. I should find the button handles to retrieve the image encoding and decoding functions. Then there are the two function versions that update in the “about” menu, which return a connection error message. Let’s try to find the error strings to trace the calls it tries to make.
The strings are there, but I can’t debug them, and after a few attempts to add a breakpoint that doesn’t activate. I decided on a more theoretical approach. The error message is clearly an indication of a bad network connection, so I’m aiming to check portions of code in which network features are exploited. After a few tries, I identified the “socket” function. For a change, I use a slightly less user-friendly tool, gdb.
I started the application and identifed the process that is being duplicated.
Let’s attach it the process via gdb.
I put a breakpoint on the “socket” function and let the program run.
At this point, let’s trigger the connection event on the interface through one of the two menu items and see if something is activated in the debugger.
Perfect. The break has been activated. Now, we can investigate the various calls that follow one another proceeding step by step. The new socket initialization function doesn’t carry much additional information, especially by displaying the parameters that are passed to the function.
Proceeding step by step (command “s“), we will finally arrive at the “open_socket” call, which will start showing us some more parameters.
This will reappear after performing a few more steps, and this time with some additional information.
Another domain that if I don’t put it in my /etc/hosts file, I will never reach it. Let’s add it and see what happens in the application.
Bingo, once you enter the domain, the calls start going through.
I then started packet sniffing on my network with wireshark.
After quickly analyzing the packets, we found that after a quick sync and ack, the client made the real call, and we also found a lot of interesting information.
OK. Pay attention now. To capture packets and be able to edit them, I need burpsuite. To make the program, I used the burpsuite proxy. I tried with environment variables and so on, but the process fork probably interfered with the environment variables. I then bypassed the problem by performing these simple steps:
In this way, I can check all the calls made. And in fact:
Now, I can take a closer look at the calls. I don’t know exactly how to perform a websocket attack, so I take a quick peek around and through HackTricks (now one of the penetration testers must-have tools)
This is an interesting git repository.
Let’s take some time to understand how it works and then try it.
I don’t believe it. It was too simple. Let’s investigate this vulnerability and how it will be exploited.
I have tried various ways to perform the exploit but without success. Finally, peeking in the HTB forum, I understand that the exploit is of type SQLi. Bad story, also in this case activating the sqlmap on websocket protocol will not be easy. Luckily, there is a script that can help me.
After a quick look at the code, I only replaced the payload to avoid a double quote breaking the JSON string (as recommended in the comment).
And fire to the dust!
From here everything should be simpler, let’s list the tables.
And let’s take a look inside the users table.
Nothing simpler (if the password is one of the rockyou dictionary). Save just the string to a file, and hashcat will do the rest.
Well, I have a password. What about the account? Something “kavigihan” in it? Let’s try!
So, let’s take a look at the other tables.
The reports table went relatively well, it was a bit longer the process for the answers table. Luckily, it’s only two records, worth the wait!
It seems that the DB collects user reports and allows support users to keep track of the answers given to requests received. Interestingly, there was a user Thomas, with the administrator role. The basic idea is to generate a list of accounts based on the possible combinations of the name and surname of this user, it will be enough to find a suitable tool to generate a dictionary with which to perform a brute-forcing.
And now, let’s start to brute force using metasploit.
Et voilà… the first flag.
For the clue to the privesc, we don’t have to go too far either.
So, let’s analyze the script, it accepts two parameters or one provided it contains the word “cleanup“. The second parameter is passed to the awk command, which splits it using the dot (.) as separator and takes the last value. A quick check on a possible symlink (they want to make things difficult to us). At this point, the only actions allowed by the script are: build, make or cleanup. The last one simply deletes some folders. Let’s see in detail the build and the make. And here is explained the split of the second parameter on the point, which turns out to be the name of a file. If the file extension is therefore “spec” in the case of action build or “py” in the case of action make, then the script continues, otherwise it stops showing an error message. In both cases, the “pyinstaller” command is started (which creates an executable binary) and subsequently copied together with the “.build” and “.dist” folders in the /opt/shared folder. Well, there are two possible attack points: the “awk” command and the “pyinstaller” command. Let’s see what we can do. My first approach is the awk command, which I’ve already seen on the GTFOBin portal.
As much as I go around it, I can’t find anything that can be exploited in this specific scenario. Let’s move on to the “pyinstaller” command. I remember something about it, especially the file used in the build, i.e., the .spec file, but I need to refresh this.
OK. Clear, but I don’t have enough experience with this type of script to prepare a valid payload… let’s see if chatGPT can help me!
Meanwhile, a simple python script that is useless.
The malicious script containing root flag captures!
And we execute the attack with root privileges.
Wooo. Amazing. Quite a piece of cake! Well, that’s all, folks. I’ll meet you at the next BOX. Have a nice hacking! Bye!
Secjuice – Read More
Infostealers: An Overview
/in General NewsWhat are Infostealers?
An infostealer is malicious software designed to infiltrate computer systems and extract valuable information from compromised devices. These malware programs operate covertly (not like some malware that perhaps gives pop-ups or noticeably hamper system performance) to collect sensitive data.
For a shorter description, an infostealer is malware that covertly steals secret information from a computer.
Our computers have tons of sensitive information tucked away – passwords in the browser, cookies with connection tokens, files with sensitive information saved (how many people do you think have a text file saved with a name like “passwords” or “private”?), PDFs with their recovery key codes, Word documents with their banking information – to name a few.
And in every operating system, there are typical “hidden” places with loads of information about that computer (e.g., Windows registry, Linux /etc, /usr, /bin).
Those are the items that infostealers are after.
Typical Techniques
Infostealers use varied techniques for system infiltration and data extraction. These techniques include but aren’t limited to phishing, infected websites, malicious software downloads (e.g., video game mods, pirated software), and exploiting system vulns.
Once installed, infostealers harvest data via methods like browser hooking, web injection scripts, form grabbing, keylogging, clipboard hijacking, screen capturing (ironically, this sounds like Microsoft’s recent Recall feature), and browser session hijacking.
Some more specific information
After infecting a computer, infostealers use various the following techniques (including, but not limited to) to acquire data. These include:
Anatomy of an Infostealer
Bot Framework
The bot framework is an essential component of many infostealers, designed to operate on many victim machines for infection distribution. Here are key aspects of the Bot Framework:
1. Configurability: The framework includes a builder allowing attackers to customize the infostealer’s behavior on the target computer. This enables them to specify the data to collect and how the malware should operate.
2. Data collection capabilities: Bot frameworks typically include modules for:
· Harvesting browser data (passwords, cookies, autofill information)
· Extracting credentials from various applications
· Capturing keystrokes
· Taking screenshots
· Gathering system information
3. Stealth: Infostealers are designed to be lightweight and stealthy, leaving a minimal footprint on the infected system.
4. Exfiltration: The bot framework is responsible for sending the collected data back to the attacker’s command and control (C2) server.
5. Versioning: Some sophisticated bot frameworks, like the one used in the Jupyter infostealer, implement a versioning matrix to manage different malware versions.
6. More advanced Bot frameworks may include capabilities for:
· Downloading and executing additional malware
· Running PowerShell scripts and commands
· Process hollowing (for injecting malicious code into apps)
7. Compatibility: Bot frameworks are often designed to work across multiple Windows versions and system architectures. For example, the Continental Stealer is compatible with systems from Windows 7 (x32) to Windows 11 (x64) and supports both ARM and x86-x64 architectures.
8. Anti-detection features: Some bot frameworks incorporate anti-VM capabilities to evade detection when running in virtual environments and self-destruct mechanisms to remove traces after execution.
Here’s a pictorial and general overview of a bot framework:
And of the attack lifecycle:
All in the Family
Infostealers are technically malware, which we often think of as a product – like buying an office suite or photo editing program – and is, more technically, Malware-as-a-Service (MaaS) because one can pay $130-$750 for Vidar infostealer, for example – depending on the license – to get it from a vendor. But it’s often also referred to as if certain ones are their own entity, family, distributor, reseller, market, campaign, and threat actor. Here, I’ll talk about infostealers in both ways, not focusing on whether or not it’s the malware or threat actor.
Some of the most prevalent infostealer families include Raccoon, RedLine, AgentTesla, Vidar, and AZOrult.
One example of the sophistication of MaaS is the stealer Rhadamanthys (here’s quick overview of it, with Yara rules at the bottom of the page if you need that to search for activity).
Rhadamanthys has instructional videos on Vimeo about how to use it.
The Top 3?
What are the main ones to be aware of and protect against? There’s no way to determine “Who’s or What’s the most dangerous?” It’s like asking, “What’s the best band?” or “What’s the worst company?” There are so many technical details and subjective experiences that calling something “worst” or best” is not quantifiable. For infostealers, some are spun up and then dismantled, others are used prominently for a while and then placed in the malware junk drawer; some are for mobile, some for specific industries, and others are OS-specfic.
But to focus a little, 3 of the top infostealers are:
1. Raccoon
2. Redline
3. Vidar
Raccoon
Raccoon Infostealer, first observed in April 2019, is a popular and effective Malware-as-a-Service (MaaS). Raccoon targets a wide range of sensitive information – such as login credentials, credit card details, cookies, browser history, and autofill information. Written in C++, Raccoon employs a modular approach to infect both 32-bit and 64-bit Windows-based systems, using process injection techniques to hijack legitimate processes like explorer.exe and gain elevated privileges.
What makes Raccoon particularly dangerous is its comprehensive data collection capabilities. The malware gathers detailed system information, including operating system architecture, version, system language, hardware details, and installed applications. It can also capture screenshots if enabled by the attacker’s configuration. Raccoon follows a standard procedure for each targeted application: locating and copying cache files containing sensitive data, extracting and encrypting the information, and storing it in its main operating directory. After collecting data, Raccoon compresses all stolen information into a single zip file and exfiltrates it to its command-and-control (C2) server, typically using Telegraph or Discord for C2 operations.
Monitoring for Raccoon Stealer
To identify and mitigate the threat of Raccoon Infostealer, several indicators and behaviors can be monitored:
Raccoon Stealer v2 infections are characterized by unusual HTTP requests with empty Host headers and abnormal User Agent headers. The malware frequently changes its User Agent strings to evade detection, making anomaly-based detection methods crucial.
The malware contacts its command-and-control (C2) server using HTTP GET and POST requests, often to highly unusual IP addresses. These requests can include downloading DLL libraries and exfiltrating stolen data.
Upon infection, Raccoon Stealer fingerprints the target system, gathering information such as the operating system architecture, version, system language, hardware details, and installed applications. It uses functions like `RegQueryValueExW` and `GetUserNameW` to retrieve machine IDs and usernames.
The malware collects sensitive data, including browser autofill passwords, history, cookies, credit card details, usernames, passwords, and data from cryptocurrency wallets. It then compresses this data into a zip file (often named `Log.zip`) and sends it to the C2 server via an HTTP POST request.
Raccoon Stealer uses process injection techniques to hijack legitimate processes like `explorer.exe` and gain elevated privileges.
Raccoon Stealer was hampered in 2022 with the arrest of one of its main developers, who then pleaded guilty in 2024. But it’s still active.
Redline
RedLine Stealer, first discovered in 2020, has become one of the most notorious and widely used information-stealing malware in recent years. Operating on a Malware-as-a-Service (MaaS) model, RedLine allows cybercriminals to purchase a turnkey solution for stealing sensitive data from infected systems. This infostealer is capable of harvesting a wide range of information, including saved credentials, autocomplete data, and credit card details from web browsers, as well as data from cryptocurrency wallets, FTP clients, and popular messaging applications like Discord and Telegram.
What makes RedLine particularly dangerous is its ability to gather detailed system information, such as the victim’s IP address, operating system details, installed antivirus software, and hardware configuration. This comprehensive data collection allows attackers to build detailed profiles of their victims and potentially use the stolen information for further malicious activities, including identity theft, financial fraud, or as a stepping stone for more sophisticated attacks like ransomware. The effectiveness and relatively low cost of RedLine have contributed to its popularity among cybercriminals, making it a significant threat in the current cybersecurity landscape.
Redline TTPs
More details on these TTPs can be found at Infostealers.com https://www.infostealers.com/technique/redline-stealer/
T1087, T1071, T1020, T1059, T1555.003, T1132, T1005, T1140, T1573, T1041, T1083, T1562, T1105, T1056, T1095, T1571, T1003, T1120, T1566, T1057, T1055, T1012, T1113, T1518, T1528, T1539, T1082, T1614, T1007, T1124, T1552, T1204
Vidar
First noticed in 2018, Vidar infostealer is a versatile malware that gained prominence in the cybercriminal ecosystem due to its efficiency in harvesting sensitive data. Initially marketed on underground forums as a Malware-as-a-Service (MaaS), Vidar is favored for its ease of use and ability to target a wide range of information, including login credentials, financial data, cryptocurrency wallets, and autofill information from browsers. The malware typically spreads through phishing campaigns, malicious advertising, or exploit kits, making it a persistent threat across multiple industries. Once deployed, Vidar operates silently, exfiltrating data to its command-and-control (C2) server while leaving minimal traces on the infected system.
One of Vidar’s most troublesome attributes is its modular architecture, allowing customization of its functionality. This adaptability lets threat actors use Vidar for reconnaissance, credential theft, or even as a precursor to more devastating attacks like ransomware. The malware is also equipped with anti-analysis techniques, such as virtual machine detection and sandbox evasion, making it challenging for security researchers to dissect its operations. Over time, Vidar has been associated with various campaigns targeting organizations globally, highlighting the growing need for robust endpoint protection, phishing awareness training, and network monitoring to counteract its impact.
Related to Arkei trojan, Vidar can even receive updates!
For additional information, here’s an interview between g0njxa and Vidar staff: https://g0njxa.medium.com/approaching-stealers-devs-a-brief-interview-with-vidar-2c0a62a73087
For those looking to protect their network, here are some defanged IoCs (Indicators of Compromise) – IP Addresses, Domains, and Social Media. Plus some MITRE ATT&CK TTPs. This is just a sampling; much more can be found in the links in this section and the Resources at the end.
IP Addresses
162[.]241[.]225[.]237
– 5[.]79[.]66[.]145
– 104[.]21[.]45[.]70
– 193[.]29[.]187[.]162
– 104[.]18[.]5[.]149
– 45[.]151[.]144[.]128
– 18[.]205[.]93[.]2
Domains
– notepadplusplus[.]site
– download-notepad-plus-plus[.]duckdns[.]org
– download-obsstudio[.]duckdns[.]org
– dowbload-notepadd[.]duckdns[.]org
– dowbload-notepad1[.]duckdns[.]org
– download-davinci-resolve[.]duckdns[.]org
– download-davinci[.]duckdns[.]org
– download-sqlite[.]duckdns[.]org
Social Media
– hxxp://www[.]tiktok[.]com/@user6068972597711
– hxxps://t[.]me/mantarlars
– mas[.]to/@zara99
– ioc[.]exchange/@zebra54
– nerdculture[.]de/@yoxhyp
– hxxp://www[.]ultimate-guitar[.]com/u/smbfupkuhrgc1
– mas[.]to/@kyriazhs1975
– mastodon[.]online/@olegf9844g
– steamcommunity[.]com/profiles/76561199436777531
Vidar Malware MITRE ATT&CK Tactics, Techniques, & Procedures (TTPs)
Technique ID, Description
T1204 – User Execution
T1555 – Credentials from Password Stores
T1539 – Steal Web Session Cookie
T1614 – System Location Discovery
T1518 – Software Discovery
T1007 – System Service Discovery
T1095 – Non-Application Layer Protocol
T1566 – Phishing
T1552 – Unsecured Credentials
T1113 – Screen Capture
T1057 – Process Discovery
T1087 – Account Discovery
T1041 – Exfiltration Over C&C Channel
Protection
It’s never good to present all the things to be afraid of yet not show people how to protect against those fearful apparitions.
There’s a lot of information to sift through. How can we protect ourselves against all of these malicious actors? No report can provide all the ways – too many factors, and many are highly technical. But here are several ways that anybody can use, professional/technical or not.
1. Multi-Factor Authentication (MFA/2FA): For infostealers, user credentials are a major target. Deploying MFA makes it more difficult for an attacker to use the stolen credentials.
2. Use strong anti-malware software
a. New to buying antimalware/antivirus? Search online for top antimalware or best antivirus suites or top 10 AV for 2025
3. Keep systems and software up-to-date
a. For home use and personal devices, select automatic download and then install when ready.
b. For corporate users, automatic updates can cause big trouble for critical systems, so ensure proper testing, but update (or upgrade) when you can. I know…easier said than done.
4. Use caution with attachments and downloads
a. If you can slow down to think about what you’re sending or downloading, that’s a great start.
b. Because many infostealer campaigns deliver malicious files via a phishing email, it’s great to have security solutions that can inspect email attachments for malicious content and provide the ability to rip them out before people can get to them.
5. Implement strong password policies
a. Typical home use of computers doesn’t require official policies, but at least keep in mind that the better your password, the better.
6. Regularly monitor for suspicious activities
a. Don’t click on those pop-ups on your computer, except to click on the X or Close. Even at that, those are simply buttons that could be tied to actions. So, if at all possible, close the entire browser (at least the tab) instead of clicking on the pop-up.
b. Set a regular time to review your bank transactions. That doesn’t prevent crime, but at least a long time won’t pass without you knowing about it.
7. Educate colleagues about social engineering
a. Professionals – help people out. Non-professionals – ask for help. Security professionals love to help people (we might not fix things or give hour-long seminars for free, but an email now and then is possible).
There are dangers out there, and with the right knowledge – which is readily available but often either hard to find or overabundant – you can stay safe. Go safely into and through 2025!
Sources, Resources, and More Information
Raccoon
https://www.blackberry.com/us/en/solutions/endpoint-security/ransomware-protection/raccoon-infostealer
https://www.cyberark.com/resources/threat-research-blog/raccoon-the-story-of-a-typical-infostealer
https://darktrace.com/blog/the-resurgence-of-the-raccoon-steps-of-a-raccoon-stealer-v2-infection-part-2
https://cyberint.com/blog/financial-services/raccoon-stealer/
https://www.justice.gov/usao-wdtx/victim-assistance-raccoon-infostealer
https://www.linkedin.com/pulse/raccoon-stealer-announces-return-new-features-tools-mihir-bagwe
https://www.cyber.nj.gov/threat-landscape/malware/trojans/raccoon
https://www.cid.army.mil/Portals/118/Documents/Cyber-Flyers/Cyberflyer_MalwareAsAServiceRaccoonInfostealer_11-16-2022.pdf
https://www.infostealers.com/article/approaching-stealers-devs-a-brief-interview-with-recordbreaker/
https://www.kelacyber.com/wp-content/uploads/2023/05/KELA_Research_Infostealers_2023_full-report.pdf
https://www.bleepingcomputer.com/news/security/ukrainian-charged-for-operating-raccoon-stealer-malware-service/
Redline
Good and detailed summary: https://cyberflorida.org/redline-stealer-malware-analysis/
2024 discruption: https://www.bankinfosecurity.com/dutch-police-fbi-infiltrate-info-stealer-infrastructure-a-26643
https://www.welivesecurity.com/en/eset-research/life-crooked-redline-analyzing-infamous-infostealers-backend/
https://www.kroll.com/en/insights/publications/cyber/redlinestealer-malware
https://proton.me/blog/infostealers
https://www.threatspike.com/blogs/redline-part-1
https://nordvpn.com/blog/redline-stealer-malware/
https://www.linkedin.com/directory/articles/t-402
https://flare.io/learn/resources/blog/redline-stealer-malware/
https://www.csk.gov.in/alerts/RedLine_infostealer_malware.html
https://securityscorecard.com/research/detailed-analysis-redline-stealer/
https://www.cloudsek.com/blog/technical-analysis-of-the-redline-stealer
https://www.infostealers.com/technique/redline-stealer/
https://www.esentire.com/blog/esentire-threat-intelligence-malware-analysis-redline-stealer
https://www.splunk.com/en_us/blog/security/do-not-cross-the-redline-stealer-detections-and-analysis.html
https://malpedia.caad.fkie.fraunhofer.de/details/win.redline_stealer
https://flashpoint.io/blog/redline-meta-takedown-infostealer/
https://intel471.com/blog/redline-and-meta-the-story-of-two-disrupted-infostealers
Vidar
https://www.checkpoint.com/cyber-hub/threat-prevention/what-is-malware/what-is-vidar-malware/
https://www.hhs.gov/sites/default/files/vidar-malware-analyst-note-tlpclear.pdf
https://wazuh.com/blog/detecting-vidar-infostealer-with-wazuh/
https://www.cyfirma.com/research/vidar-stealer-an-in-depth-analysis-of-an-information-stealing-malware/
https://blog.eclecticiq.com/polish-healthcare-industry-targeted-by-vidar-infostealer-likely-linked-to-djvu-ransomware
https://darktrace.com/blog/a-surge-of-vidar-network-based-details-of-a-prolific-info-stealer
Bot Framework
https://en.wikipedia.org/wiki/Infostealer
https://blog.morphisec.com/jupyter-infostealer-backdoor-introduction
https://lumu.io/blog/infostealers-silent-threat-compromising-world/
https://cyberint.com/blog/research/the-new-infostealer-in-town-the-continental-stealer/
https://flashpoint.io/blog/protecting-against-infostealer-malware/
https://www.f5.com/labs/articles/threat-intelligence/blackguard-infostealer-malware-dissecting-the-state-of-exfiltrated-data
https://www.cyberark.com/resources/threat-research-blog/raccoon-the-story-of-a-typical-infostealer
https://flashpoint.io/blog/understanding-seidr-infostealer-malware/
Secjuice – Read More
A 9th Telecoms Firm Has Been Hit by a Massive Chinese Espionage Campaign, the White House Says
/in General NewsA top White House official said at least eight U.S. telecom firms and dozens of nations have been impacted by a Chinese hacking campaign.
The post A 9th Telecoms Firm Has Been Hit by a Massive Chinese Espionage Campaign, the White House Says appeared first on SecurityWeek.
SecurityWeek – Read More
Secure Gaming During the Holidays
/in General NewsSecure Gaming during holidays is essential as cyberattacks rise by 50%. Protect accounts with 2FA, avoid fake promotions,…
Hackread – Latest Cybersecurity, Tech, Crypto & Hacking News – Read More
FICORA, CAPSAICIN Botnets Exploit Old D-Link Router Flaws for DDoS Attacks
/in General NewsMirai and Keksec botnet variants are exploiting critical vulnerabilities in D-Link routers. Learn about the impact, affected devices, and how to protect yourself from these attacks.
Hackread – Latest Cybersecurity, Tech, Crypto & Hacking News – Read More
Wiping your Android phone? Here’s the easiest way to erase all personal data
/in General NewsBefore you sell or trash your old Android phone, you should properly delete all sensitive information. Here’s the best (and simplest) way to do it.
Latest stories for ZDNET in Security – Read More
15,000+ Four-Faith Routers Exposed to New Exploit Due to Default Credentials
/in General NewsA high-severity flaw impacting select Four-Faith routers has come under active exploitation in the wild, according to new findings from VulnCheck.
The vulnerability, tracked as CVE-2024-12856 (CVSS score: 7.2), has been described as an operating system (OS) command injection bug affecting router models F3x24 and F3x36.
The severity of the shortcoming is lower due to the fact that it only works
The Hacker News – Read More
North Korean Hackers Deploy OtterCookie Malware in Contagious Interview Campaign
/in General NewsNorth Korean threat actors behind the ongoing Contagious Interview campaign have been observed dropping a new JavaScript malware called OtterCookie.
Contagious Interview (aka DeceptiveDevelopment) refers to a persistent attack campaign that employs social engineering lures, with the hacking crew often posing as recruiters to trick individuals looking for potential job opportunities into
The Hacker News – Read More
Cyberhaven says it was hacked to publish a malicious update to its Chrome extension
/in General NewsThe data-loss startup says it was targeted as part of a “wider campaign to target Chrome extension developers.”
© 2024 TechCrunch. All rights reserved. For personal use only.
Security News | TechCrunch – Read More
Deepfakes, Quantum Attacks Loom Over APAC in 2025
/in General NewsOrganizations in the region should expect to see threat actors accelerate their use of AI tools and mount ongoing “harvest now, decrypt later” attacks for various malicious use cases.
darkreading – Read More