Writing Patterns Meme

[Plain text: "Writing Patterns Meme" in big text. /End PT]

Rules: List the first line of your last 10 (posted) fics and see if there's a pattern!

@ravensilversea thanks for tagging!!!! I'm so sorry I just noticed it today fhdsklfjdsklfjds. Also its been a long time since I wrote/posted anything so here we gooooooo

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1. There was the smell of blood. - did you kill my mother, father (KHR)

2. To say that the plan was foolproof was a lie. - Cicadas of Summer (Natsume Yuujinchou)

3. One thing about Reborn that everyone knows is that he never rejects a mission. - fire wrapped in spider lilies (KHR)

4. "So..." - espresso and expresso my thirst for you (KHR)

5. The thunder was loud, booming and deafening in the background. - past and present (KHR)

6. Nai compartmentalizes his memories. - folders within boxes within crates (Trigun)

7. Hanako was so young when she lost her papa and mama — so young that she could not remember anything much aside from black and white and lilies. - Blooming Flower (KHR)

8. To Sawada Ieyasu, the world, was dull. - Cypress (KHR)

9. Light was sacred, a blessing bestowed by the heavens, an honour given by the gods. - The last lights were gone, and we lay together in the deep, and drifted away, and all was silent. Such a silence I had never known. (KHR)

10. Shen Jiu expected to be alone forever. - An Unexpected Company (Scum Villain)

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What have we learned?

[Plain text: "What have we learned?" in medium text. /End PT]

I took the liberty to kill of my 10th post thing on AO3 because it was just my rant corner but like, I want and not want to burn it so ignore me.

HMNNNNNNNNN GOOD QUESTION. WHAT HAVE WE LEARNED????

That I really like short opening sentences?? And that maybe I like to start the story with the condition the main character is in???? HmNnNN but its interesting that I love making short sentence opener. I thought I'd prefer long ones but lo and behold. the fact that number 9 title is longer than my first sentence is so funny too.

But I did realized how much I love symbolic titles, even tho 99% of the time I screamed at how to figure out a title and just randomly slap one on. and also I can't believe that I only wrote NINE (9) FICS IN 2023,,,, WHAT THE FUCK ME??? HNGH I swear I wanna write more but brain capacity getting smaller (sobs)

No pressure from me!!! @avidaraku, @adelmortescryche, @honeynet, @seitosokusha and anyone basically. I feel like I'd tag everyone if I could but hahahaha----- //slapped K BYE LOVE YALL

@honeynet HELLO????

What's your thoughts on breakfast cereal?

Lol I like it! At least some of them.

I really only do Froot Loops, Captain Crunch, and Honeynet Cheerios LOL

But ya know, it lasts a long time, it's no-prep, it's fast, it tastes pretty good, they jam-pack it with vitamins for kids. I'm here for it.

Send me a "your opinion on ____" ask!!

6 types of fraud to remain aware of (and other trends) - CyberTalk

New Post has been published on https://thedigitalinsider.com/6-types-of-fraud-to-remain-aware-of-and-other-trends-cybertalk/

6 types of fraud to remain aware of (and other trends) - CyberTalk

Miguel Hernandez y Lopez is a Cyber Security Engineering Manager and member of the Office of the CTO at Check Point Software Technologies. Miguel has over 20 years of experience in the cyber security field. He was a member of the Honeynet Project, an international non-profit organization (501c3) dedicated to the investigation of the most recent computer attacks, and the development of OpenSource security tools to learn about how hackers behave. He is co-author of the Security Compendium ´Cyber Security and Global Information Assurance: Threat Analysis and Response Solutions´ sponsored by the U.S. Air Force Academy, USA (ISBN: 978-1-60566-326-5). Miguel holds a Master of Science of Technology from Universidad de Buenos Aires.                                                          

In honor of International Fraud Awareness Week, here at Cyber Talk, we’re joining the global effort to increase insight and education around fraud prevention.

Every year, organizations lose trillions of dollars to fraud, largely because they don’t understand the tactics that fraudsters employ or what kinds of prevention strategies to implement.

In this interview, explore what’s happening in the world of cyber fraud and how you can support more effective fraud-fighting initiatives. Let’s dive in:

What types of business fraud are you seeing at the moment?

There are several types of business fraud trending currently:

1. Cyber fraud. Cyber attacks are on the rise. Cyber criminals are using techniques such as phishing, malware or ransomware to steal sensitive information or disrupt business operations.

2. Internal fraud. This involves fraudulent activity by staff members within a business, including theft, falsification of documents or embezzlement.

3. Invoice fraud. This involves fake invoices being sent to a company in the hope they’ll pay fake charges without noticing.

4. CEO fraud. This is where fraudsters pose as a CEO of a company or another senior executive to trick an employee into transferring funds or sharing sensitive information.

5. Return fraud. This is particularly prevalent in the retail sector, where customers abuse the return policy for financial gain.

6. Payroll fraud. This can occur when employees manipulate the payroll system to receive more compensation than they’re due.

It’s essential for businesses to constantly update their security measures, educate employees about potential scams and implement strong internal controls to prevent fraud.

Fraud is expensive. Could you speak to the cost of fraud for businesses?

Absolutely. The cost of fraud can be substantial for businesses both financially and reputationally.

There are direct financial losses, which could soar into the millions, depending on the scale of the business and the fraud.

There are also investigation and recovery costs. Post-fraud, a business needs to conduct investigations and try to recover lost funds. These processes can be time-consuming and costly.

Beyond that, there are legal costs. Depending on the severity of the fraud, legal costs can be significant. If the company suffered a large loss, it may choose to prosecute the fraudulent party, increasing expenses.

Also, there are regulatory fines. In some cases, especially those involving data breaches, a business may encounter hefty fines from regulatory bodies for failing to protect sensitive information.

Further, a company may experience reputational damage. Although not directly financial, damage to a company’s reputation can result in loss of customers, decreased sales, and a drop in stock prices, all of which indirectly contribute to overall financial loss.

Lastly, after a fraud incident, companies may see increased insurance premiums.

According to the Association of Certified Fraud Examiners Occupational Fraud 2022, in A Report to the Nations, organizations lose approximately five percent of revenue to fraud each year, with the average loss per case totaling more than $1.78 million.

In your opinion, what impact could generative AI have on the future of business fraud? (What impact has it already had, if any?)

Generative AI could play a significant role, both positively and negatively, when it comes to business fraud.

In terms of fraud prevention and detection, AI can process enormous volumes of data, identify patterns, and detect anomalies more quickly and accurately than human analysts. Using sophisticated algorithms and machine learning methodologies, generative AI can identify potential fraudulent activities before they become damaging.

On the other hand, misuse of generative AI could potentially increase sophisticated fraud scenarios.

For example, think about deepfakes, in which generative AI can create hyper-realistic audio, video, or text that’s virtually indistinguishable from real content. Unscrupulous individuals can use these ‘deepfakes’ for scams, to create false identities, or spread disinformation that harms businesses.

While generative AI provides tools and capabilities that businesses can leverage for fraud prevention, generative AI also requires enhancement in security measures to prevent misuse. Aid from regulatory bodies, education, and a solid legal framework will be necessary to ensure that generative AI’s impact remains positive.

What types of technology solutions or tools would you recommend for fraud detection and prevention?

I would recommend cyber security solutions that have gained popularity due to their effectiveness in addressing modern technological challenges. These solutions are considered robust because they focus on enhancing security posture in a dynamic and evolving threat landscape.

For instance, when you are using Check Point to secure your business, you gain accurate prevention against the most advanced attacks through the power of ThreatCloud AI.

ThreatCloud AI, the brain behind all of Check Point’s products, combines the latest AI technologies with big data threat intelligence to prevent the most advanced attacks while reducing false positives, keeping a business safe and productive.

Why are these solutions and strategies considered advantageous for fraud prevention?

In terms of what Check Point offers…

Integrated security architecture. Check Point provides a comprehensive and integrated security architecture. Solutions often include multiple layers of security, covering areas such as firewall, intrusion prevention, antivirus, anti-malware, VPN, and more. Having an integrated approach can simplify management and improve overall security effectiveness.

Threat Intelligence and Research. Check Point invests heavily in threat intelligence and research. The company’s researchers actively analyze emerging threats, vulnerabilities, and attack patterns. This commitment to staying ahead of the threat landscape allows Check Point to provide timely updates and protection against new and evolving cyber threats.

Advanced threat prevention. Check Point is known for its advanced threat prevention capabilities. The solutions include technologies such as sandboxing, threat emulation, and threat extraction to detect and prevent sophisticated threats, including zero-day attacks and advanced persistent threats.

Cloud security. As organizations increasingly move their infrastructure and applications to the cloud, Check Point has expanded its offerings to include robust cloud security solutions. This includes protection for cloud workloads, applications, and data, as well as integration with major cloud service providers.

Network security. Check Point has a long history and a strong reputation in the field of network security. The company’s firewall solutions are widely used for securing network perimeters and enforcing security policies. Check Point’s expertise in network security is valuable for organizations with complex network architectures.

User-friendly management interface. Check Point products often feature user-friendly management interfaces that make it easier for security administrators to configure and monitor security policies. This can be important for organizations that want a solution that is both powerful and accessible for their security teams.

Scalability. Check Point solutions are designed to scale with the growth of an organization. Whether an organization is small or enterprise-level, Check Point’s products can often be tailored to meet the specific needs and scale of the environment.

Is there any other advice that you have for organizations?

I think that user awareness is crucial for fraud prevention – and for the following reasons:

Human factor. Often, human error or ignorance enables fraud. By enhancing user awareness, you help build the first, and sometimes most robust, line of defense against fraud.

Phishing attacks. In an age where cyber threats, like phishing, can lead to significant security risks, users who are aware of these threats aren’t as likely to fall for them as their peers.

Early detection. Aware users can identify suspicious activity, anomalies or changes in systems or transactions which may indicate a potential threat or fraud. They can escalate this early, enabling faster response and mitigation.

Mitigating insider threats. Employees who understand the signs of fraud are better equipped to spot and report possible internal threats.

Regulatory compliance. User awareness helps organizations stay in compliance with regulations that often require user training and awareness as a part of their requirements.

Culture of security. Training users around cyber security awareness creates a culture of security within the organization where every member, not just the IT or security team, has a role in preventing fraud.

In essence, users who are well-informed about fraud risks, ways to identify and respond to fraud, and the potential impact, add a valuable layer of protection for the organization.

For more insights from Miguel Hernandez y Lopez, please see CyberTalk.org’s past coverage. Lastly, to receive timely cyber security insights and cutting-edge analyses, please sign up for the cybertalk.org newsletter.

Agobot dos download

AGOBOT DOS DOWNLOAD UPDATE

The spammer uses the “download” command to downloadĪnd execute a SOCKSv4/v5 server. But other options to send spam are possible: So far, SDBot does not implement dedicated spamming O (download|dl) ] ] ]ĭownloads list with email-addresses to spam them O The same commands are also available via FTP can be one of webdav ntpass netbios dcom135 dcom445 dcom1025 dcom2 iis5ssl mssql beagle1 beagle2 mydoom lsass_445 lsass_139 optix upnp netdevil DameWare kuang2 sub7 If given with port, just tries to exploit the host with the scanners fitting the ports, else all scanners are used. Replys stats about exploitings per scanner Removes all netranges from scanner and adds local LAN as scanning rangeĪnubis Bagle CPanel DCOM DCOM2 Doom DW Ethereal HTTP Locator LSASS NetBios Optix SQL UPNP WKS O scan.listnetrangeslist scanned netranges If “recursive” is set, the bot parses the replies and follows This is real nasty since it fetches websites from a webserver. * on the same ethernet segment gives best effects. * filtering enabled – tests with source and destination host * Some of these packets might not pass through routers with for stability and reactions to unexpected packets. * Useful for testing IP stacks, routers, firewalls, NIDS, * routing flags, and other unknown/unexpected packet values. * packet size, header values, options, offsets, tcp segments, * to generate attacks using invalid fragmentation, protocol, * Sends combinations of uncommon IP packets to hosts * IP stack penetration tool / ‘exploit generator’ Implements the well known DDoS attack Mixter authored in 1999. Presenting all the commands is beyond the scope of this paper, as Agobot comes along with over 90 commands in the default configuration. In the following, we cover the more popular commands implemented in the common bots we have captured in the wild. Hopefully comprehensible and applicable port sequences do emerge that can help distinguish extremely well programmed Bots and allow for further study into the most elite Botnets. This activity would have to be monitored during a live session with an intrusive Bot facing massive disconnections and reopening of ports. I have not yet seen enough satisfying data on this topic, although scanning mechanisms and ���most frequent port lists” are known, I want to determine if any of the Bots are intelligent enough to connect to more stable ports by either randomly selecting ports to attempt connection or by algorithmic sequencing. A second realm in which I tend to gather data is on the various bots ability to remain connected while various port configurations are enacted. Of course the desires and objectives of each given party are different and thus configurations based on acquired data would be user specific. Research in this realm could also make for more predictable server stability in the long run by providing data for optimized server updating schedules. If a trend emerges in the data gathered that can accurately predict what type of bot is most likely going to connect to which one of your ports and with what command, a much tighter filter can be placed allowing for administrators to better capture the Botnet types they desire to study.

AGOBOT DOS DOWNLOAD UPDATE

Research in this realm should be very conducive towards better arming It personnel in that more effective IDS and IPS systems can be implemented if network admins are more knowledgeable about the evolution, and progressive algorithm enhancement of various bots categorized by attack type, cloning strategy, host IP ranges, lifespan, and update cycle. Having looked at the current research and the various advances and deficits, I am greatly considering looking into the updating behavior and cycles of various Botnets. I think that given the time frame and desire to produce admirable results (having to complete a background check I can not yet deploy a Honeynet on University property, this should be accomplished by the middle of next week). A good look into the basic configurations and commands for three common Bots.

[Media] ​​Python-Honeypot

​​Python-Honeypot Automated Deception Framework. #OWASP Honeypot is an open-source software in Python language designed for creating honeypots and honeynets in an easy and secure way! https://github.com/OWASP/Python-Honeypot

Honeypot vs honeynet

oh look, it’s bitto

honeynet / do not edit.

answering a 5y ask that i missed whoops

Also its a screenshot because I dont wanna lose the ask in my inbox <3 @honeynet

Basically you know my list :3c 1. Yall in the server <3 2. The kittens next door 3. Manatee :3c 4. Blahaj 5. Food

And I've not been active on tumblr for so long that my notif is empty,,, so,,, *points at everyone in the khr rarepair server*

A Study on Honeypots and Deceiving Attacker using Modern Honeypot Network

by Anil Tom | Dr. M N Nachappa "A Study on Honeypots and Deceiving Attacker using Modern Honeypot Network"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd35900.pdf

Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35900/a-study-on-honeypots-and-deceiving-attacker-using-modern-honeypot-network/anil-tom

openaccessjournalofengineering, engineeringjournal, paperpublicationforengineering

A honeypot is a widely used security control to capture and analyse malicious network traffic. The main goal of honeypot is to monitor and receive log data, which can later be used to prevent future attacks. It imitates the contact between emulated computer and attacker with the objective of acquiring sufficient data for effective analysis and potential prevention of attacks. A honeypot is used to detect intruders in many fields such as defence, Government sectors, enterprises, higher institutions, Banking sectors, Nuclear reactors and many more. There are two types of honeypots that are deployed for different uses research honeypots and production honeypots. Research honeypots are focused on gathering information about the attack, used specifically for the purpose of learning about hacking methodologies. Production honeypots, on the other hand, are focused primarily on diverting attacks from important systems. This work detects the type of the intruders, analyses their strategy and strength of the attack. The deployment of honeypot detects various kinds of attacks using different sensors. Server is deployed in the cloud environment and sensors can be deployed in either in cloud or in Raspberry pi or machine. Server displays the feeds from sensors which is placed over different locations. Live rendering of attacks is shown in the dashboard and honey map points the exact geographic locations using longitude and latitude values. These logs can be further used to analyses and take essential measures in defence perspectives. 

my baby @lycheebi tagged me to do this

describe yourself with pictures from your camera roll 🤪

I tag @honeynet and anyone else who wants to do this eheh 💘😅

© Honeynet | do not edit

©honeynet

thus far trilies, foxtrony and honeynet all basically support fictional pedophilia and R27 so anyway that’s my current public list of fucking idiots

HONEYNUT SQUASH AREOSTITO . . . Farro, Goat Cheese, Arugula ($14) . . . I had an opportunity to check out Corktown's newest local hotspot serving traditional Southern Italian dishes the other day🤗! . . . Their Honeynut Squash Arrostito was one of my favorite dishes at Vicino. I was more familiar with butternut squash, yet I enjoyed the sweeter, deeper orange flesh of the honeynet squash! The way Vicino prepare the dish, I personally felt that they enhanced the natural flavor of the honeynet squash❤🤤❤ it was absolutely delicious! . . . So, "Vicino" pronounced ( Vee chee no ) simply means a "neighbor or someone or something that is nearby" They chose this name as they moved into a brand new neighborhood! @vicinoto . . . What I would like you to know is Vicino uses the best ingredients available to them; sourcing local as much as possible❤ . . . Are you a pizza lover? - Their flour for the pizza is not only local/organic but it is also a high protein flour that is low in gluten! As well as their wine list also sources from both local & Italian vineyards. Their spirits are true to Italian culture! Isn't it just wonderful? . . . Now it's your turn to taste the difference😋!  . . . 148 SUMACH STREET,  TORONTO, ONTARIO . . . Monday - Closed Tues 11am - 11pm Weds 11am-11pm Thurs 11am-12am Fri 11am-12am Sat 5pm- 12am Sun 5pm -12am . . . Thank you @vicinoto for the complimentary tasting❤ . . . #EatVicino#Vicinotoronto (at Vicino Italian Kitchen) https://www.instagram.com/p/B8P2QAthXj5/?igshid=1833cwh05ac1b