PowerDMARC

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A comprehensive DMARC analyzer and monitoring service designed to enhance email security and protect against spoofing and phishing attacks.

How PowerDMARC can help you:

Prevents hackers from sending emails from your domain.
Protects your organization's reputation by stopping spoofed emails.
Improves email reach, trust, and deliverability by ensuring legitimacy.

Why choose PowerDMARC: Key features

Comprehensive DMARC analysis and monitoring.
PowerSPF, PowerBIMI, PowerMTA-STS, and PowerTLS-RPT for enhanced email authentication.
Reputation monitoring and PowerAlerts for real-time protection.
API documentation and managed services for ease of use.

Who should choose PowerDMARC:

Organizations looking to safeguard their email domain from spoofing and phishing.
Businesses aiming to improve their email deliverability and protect their brand reputation.
Companies utilizing Office365, Google Mail GSuite, or Zimbra seeking dedicated DMARC protection.

About PowerDMARC

Website

https://powerdmarc.com

Release Date

March 2024

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Bolster Unveils AI Security for Email: A Game-Changing Defense Against Phishing and Impersonation Scams

New Feature Combines Crowdsourced Customer Reports and AI-Driven Automation to Protect Brands from Fraud Schemes in Real Time SANTA CLARA, Calif., Oct. 31, 2024 /PRNewswire/ -- To help organizations fight the sharp rise in AI-backed phishing and impersonation attempts, Bolster, a leader in multi-channel phishing protection, today released a new feature, Bolster AI Security for Email, which automates the analysis and mitigation of cyber threats reported through customer abuse mailboxes. "Manual triage and processing by Tier-1 and Tier-2 security operations center (SOC) analysts is time-consuming and wildly costly for organizations. These cybersecurity inadequacies have substantial impacts on security teams, and importantly, on the customer experience," said Alain Mayer, VP of Product at Bolster. "This can result in significant customer churn and financial losses. We are empowering organizations to avoid these challenges by providing AI tools that are efficient, and automate the fight against phishing scams, impersonation and other fraud schemes." Large brands and enterprises are facing a flood of phishing, impersonation, and scam attempts, with some brands receiving upwards of 30,000 emails per month from customers reporting suspicious activity. For SOC personnel, handling these reports manually is inefficient and requires specialized knowledge. Additionally, manual processes can take, on average, days to weeks for each individual takedown, with impacts felt by multiple departments including Customer Support, Cybersecurity, Fraud Protection, Legal, Marketing, and more. Bolster AI Security for Email handles the entire lifecycle of a threat, from identifying domain registrants to sending cease-and-desist letters and coordinating global takedowns. During beta, the Bolster team identified a high true positive accuracy, with large brands seeing ~35% true positive rate, meaning about 1 in 3 reports of threat are legitimate. This helps organizations to focus resources on real issues, while also reducing internal costs. A recent study has shown that 15% of scammed users do not renew their licenses. AI-driven remediation can help to prevent this. "This new feature doesn't just stop phishing threats -- it protects your customers' trust. By enabling direct customer generated reporting and automating rapid threat mitigation, brands can demonstrate an active commitment to security," continued Mayer. "This goes beyond employee-driven models by directly engaging those who are most affected. While other tools focus on AI-driven analysis with human oversight, Bolster AI Security for Email fully automates the entire process, from triage to communication with customers, once a threat is neutralized." Additionally, AI Security for Email scales effortlessly, so SOC teams can manage tens of thousands of customer-reported emails monthly without requiring additional internal resources. This means that takedowns that used to take 1-2 days can now happen in just a few hours, preventing damage before it escalates. To learn more about Bolster AI Security for Email, please visit: https://bolster.ai/platform/ai-security-for-email. About Bolster Bolster's mission is to make the internet a safer place by detecting, taking down, and monitoring phishing, fraud, and scam activity across the web, social media, app stores, email, and the dark web. Within milliseconds, Bolster renders a verdict using LLMs and the largest structured phishing dataset in the industry - delivering multi-channel phishing protection with near-perfect precision and at scale. To learn more, go to www.bolster.ai. View original content to download multimedia:https://www.prnewswire.com/news-releases/bolster-unveils-ai-security-for-email-a-game-changing-defense-against-phishing-and-impersonation-scams-302292393.html SOURCE Bolster Market News and Data brought to you by Benzinga APIs

Benzinga

Thu, 31 Oct, 2:28 PM UTC

Criminal IP: Bringing Real-Time Phishing Detection to Microsoft Outlook

Criminal IP, a globally recognized Cyber Threat Intelligence (CTI) solution by AI SPERA, has launched its Criminal IP Malicious Link Detector add-in on the Microsoft Marketplace. This cutting-edge tool provides real-time phishing email detection and URL blocking for Microsoft Outlook, adding an essential layer of email security in the face of increasing cyber threats. Advances in generative AI have driven a surge in sophisticated phishing attacks that are increasingly difficult to distinguish from legitimate communications. The Criminal IP Malicious Link Detector combats these threats by analyzing email links in real-time, detecting and blocking phishing URLs and malicious domains. Fully integrated with Microsoft Outlook and available for free, it provides robust protection for both individuals and organizations. In one instance, Criminal IP detected a phishing email targeting Trust Wallet users. The email contained links disguised as official pages, aiming to deceive users into downloading malware. The Criminal IP Malicious Link Detector swiftly identified and blocked these malicious URLs in real-time, averting potential harm. As cyber threats evolve rapidly, the Criminal IP Malicious Link Detector ensures your emails are protected against phishing links and malicious URLs. Download it today to stay ahead of emerging cyber risks and strengthen your email security. AI SPERA, renowned for its advanced solutions, has expanded internationally, with 'Criminal IP' as its flagship offering. Operating in more than 150 countries, 'Criminal IP' is backed by enterprise-grade security solutions like 'Criminal IP ASM' and 'Criminal IP FDS'. Strategic partnerships with global leaders such as Cisco, VirusTotal, and Quad9 have significantly enhanced 'Criminal IP's capabilities. AI SPERA's 'Criminal IP' has recently entered the marketplace of major US data warehousing platforms, including Amazon Web Services (AWS), Microsoft Azure, and Snowflake, expanding its global reach for threat data.

Bleeping Computer

Thu, 9 Jan, 4:43 PM UTC

Inside the incident: Uncovering an advanced phishing attack

This article is written by Varonis Security Specialist Tom Barnea. Think about your most recent security awareness training concerning phishing attacks. It likely included guidelines about avoiding clicking on suspicious links and exercises to identify subtle character differences, such as distinguishing between the letter "O" and a zero. Unfortunately, the time when even the most novice technology user could easily recognize a phishing email has ended. In the last few years, attackers have become more sophisticated and creative. Typo mistakes and grammar issues are no longer a concern for non-English-speaking threat actors, as the rapid evolution of AI has significantly contributed to the quality of these attacks. Recently, the Varonis Managed Data Detection and Response (MDDR) forensics team investigated a clever phishing campaign in which a malicious email enabled a threat actor to access the organization. This blog post will reveal the tactics the threat actor used to avoid detection and share the IoCs discovered during our investigation. A U.K.-based insurance customer faced a unique phishing attack. It began when a deletion rule created from a U.S. IP address was found in an executive manager's mailbox. This rule, named "a," permanently deleted emails containing a specific keyword in the email address. After the customer was alerted to the attack, the Varonis MDDR team identified the phishing email titled "ML Payment #05323" and its sender. We mapped out all email recipients, those who responded, those who reported it, and other communications with the threat actor's domain. This comprehensive spreadsheet was crucial for incident containment. Initially, our only indicators of compromise were the recipient's email address and the source IP of the deletion rule creation event, which turned out to be a general Microsoft IP and, therefore, not very useful in that case. However, the investigation took an interesting turn when we discovered that the phishing email appeared to come from a trusted sender: the CEO of a major international shipping company, who had previously communicated with our customer's employees. The threat actor probably compromised the CEO's email account, using it to damage more organizations. The specific keyword in the deletion rule was part of the sender's domain. It was designed to erase all emails to or from this domain, leaving no trace. The next step was to analyze the original EML file to understand the phishing methodology. The original phishing email was sent to 26 recipients in the organization. Instead of attaching a PDF file, the email included a link to a PDF hosted on an AWS server. The PDF appeared to be an official OneDrive message, indicating that the sender had shared a file. While a cybersecurity professional might identify the email as a phishing attempt, the high-quality message could easily deceive the average user. Interestingly, the PDF link contained the phrase "atoantibot." ATO stands for account takeover. At first glance, the link appeared to protect against ATO attacks, but the phishing attempt was ultimately the exact opposite. This bit of "hacker humor" will be revisited later in the article. To develop part of the attack, the threat actor used the public platform Render, a unified cloud platform that allows developers to build, deploy, and scale applications and websites easily. By leveraging a legitimate platform, the attacker ensured their malicious activities blended in seamlessly, making it difficult for email security systems to detect the threat. After clicking to "view the shared document," the user was redirected to "login.siffinance[.]com", a fake Microsoft authentication page. At this point, when the victim entered his credentials, the attacker achieved his goal. The user was then redirected to the official Microsoft Office site, making the incident seem like a glitch. Circling back to the "hacker humor" mentioned above, the attacker has disabled (or deactivated) the malicious domain, but if you try to access it today, it redirects to a popular internet prank known as Rickrolling. After entering credentials on the phishing page, the victim inexplicably responded to the attacker's email. However, because the customer could not retrieve the sent email, the content of the message is a mystery. Two minutes later, a successful login from a U.S. IP address (138.199.52[.]3) was detected, despite the victim being in the U.K. This "impossible travel" confirmed the attacker's access. Fortunately, our customer's security team acted swiftly, disabling the account, ending the session, and resetting the user's credentials within 30 minutes. The only action the attacker successfully achieved was creating a deletion rule. Our investigation revealed that this incident was part of a broader phishing campaign targeting multiple companies. The attacker employed several sophisticated tactics that made detection and investigation challenging: As is often the case in cybersecurity, the process begins and ends with users' security awareness. While it can be challenging for the average user to recognize sophisticated phishing emails, there are several best practices you can educate your users on to help them avoid falling into these traps: Below are a few technical steps that will help you protect against phishing and account take-over attacks: Varonis monitors real-time email and browsing activities and user and data activities, providing a comprehensive tool for cyber forensics investigations. This lets you quickly determine the impact and potential risks of a phishing campaign targeting your organization. The Varonis MDDR team offers 24/7/365 data security expertise and incident response, ensuring continuous support for virtually any security concern.

Bleeping Computer

Tue, 10 Dec, 4:28 PM UTC

Using Artificial Intelligence to Catch Sneaky Images in Email

These days, email security is more critical than ever. With the rise of sophisticated cyber threats, attackers are constantly evolving their techniques to bypass traditional security measures. One such method is the use of image-based fraud, which can be particularly challenging to detect and prevent. Have you ever received an email from a service you don't remember signing up for? Or perhaps an email that seems legitimate but feels off? Information overload is a common tactic used by attackers to catch their victims off guard. As traditional security controls improve, threat actors pivot their techniques, often aiming to take transactions off the corporate monitored network. This has led to a rise in telephone-oriented attack delivery (TOAD) attacks and other types of image-based fraud. While this image may be clearly fraudulent to security analysts, it can be very challenging to stop using traditional methods like block rules or regular expressions. In this case, the email itself contained no actual text for traditional anti-spam technologies to spot. Despite the obvious red flags, such as brand abuse, these emails can slip through conventional defenses. At Cisco, we continue to innovate in the field of email security by leveraging Machine Learning (ML) and Deep Learning (DL) models. These advanced technologies allow us to understand the intention behind messages and identify the true sender. Our approach goes beyond simple analysis to comprehend calls to action within the email content. Our data science team utilizes Optical Character Recognition (OCR) detection that leverages Long Short-Term Memory (LSTM) neural networks for content extraction. Email security faces the additional challenge of scale, processing millions of images, URLs, files, QR codes and other objects. New methods of artificial intelligence enable us to use heuristics to determine which images are worth analyzing, processing, and interpreting signals and calls to action. This valuable data enhances our detection engines when assessing intent. Using data and artificial intelligence to determine attackers' intent and notice trends in popular evasions allows Cisco Secure Email Threat Defense to stop malicious actors. You can see these suspicious images and other signals flagged in Email Threat Defense by starting a free trial today.

Cisco Blogs

Wed, 16 Oct, 2:45 PM UTC

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