They’re AI warehouse robots.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
Read my blog posting guidelines here.
Four in ten Americans say they use peer-to-peer payment services, like Venmo, PayPal, or Apple Pay, at least once a month. These platforms have made it even easier to send money by adding QR codes that people can quickly scan to pull up someone’s profile and complete a payment. Two-thirds of restaurants have started including QR codes on tables to access menus. Scanning QR codes has become a normal, convenient way to exchange money or information.
Unfortunately, scammers are always looking for ways to take advantage of moments when people are primed to part with their money. The Federal Trade Commission is warning that scammers now use QR codes to hide harmful links to steal personal information. This new type of phishing attack, called “quishing,” highlights how scamming methods are constantly changing. In response, artificial intelligence (AI) is becoming an even more crucial part of defending against scammers.
To protect yourself against phishing attacks, it’s crucial to remain vigilant and employ proactive measures. Make sure to scrutinize all incoming emails, text messages, or social media communications for any signs of suspicious or unsolicited requests, especially those urging immediate action or requesting sensitive information.
Avoid clicking links, downloading attachments, or scanning QR codes from unknown or untrusted sources. Check the legitimacy of the sender by cross-referencing contact information with official sources or contacting the organization directly through trusted channels.
Before accepting where a QR code is going to take you, carefully examine the associated URL. Verify its authenticity by scrutinizing for any discrepancies, such as misspellings or altered characters, especially if it resembles a familiar URL.
Safeguard your mobile device and accounts by regularly updating the operating system. Additionally, bolster the security of your online accounts by implementing robust passwords and integrating multi-factor authentication measures to thwart unauthorized access.
As fraudsters continually evolve their tactics, distinguishing between what’s real and what’s fake becomes increasingly challenging. However, there is formidable technology available to safeguard against their schemes. AI can analyze vast amounts of data in real-time to detect patterns and anomalies indicative of fraudulent behavior. By continuously learning from new data and adapting algorithms, AI can stay ahead of evolving fraud tactics.
The McAfee+ suite of identity and privacy protections uses AI for identity protection, transaction monitoring, credit monitoring, and proactive Scam Protection to keep you safe from even the most sophisticated scam attempts. Scam Protection employs AI technology to block risky sites, serving as a secondary defense against accidental clicks on spam links. This ensures that even after being tricked into clicking, your device won’t open the fraudulent site.
Don’t leave your digital defenses to chance. See for yourself what advanced security looks like today.
The post How To Protect Against New Types of Scams Like QR Phishing appeared first on McAfee Blog.
Two China-based Android app developers are being sued by Google for an alleged scam targeting 100,000 users worldwide through fake cryptocurrency and other investment apps.
Read more in my article on the Hot for Security blog.
Posted by Andrew Zayine on Apr 05
Dear Colleagues,
IEEE CSR Workshop on Cyber Forensics and Advanced Threat Investigations in
Emerging Technologies organizing committee is inviting you to submit your
research papers. The workshop will be held in Hybrid mode. The in-person
mode will held at Hilton London Tower Bridge, London from 2 to 4 September
2024
Topics include (but not limited to):
-Forensics and threat investigations in P2P, cloud/edge, SDN/NFV, VPN, and
social networks…
Posted by malvuln on Apr 05
Discovery / credits: Malvuln (John Page aka hyp3rlinx) (c) 2024
Original source:
https://malvuln.com/advisory/0e6e40aad3e8d46e3c0c26ccc6ab94b3.txt
Contact: malvuln13 () gmail com
Media: twitter.com/malvuln
Threat: Backdoor.Win32.Agent.ju (PSYRAT)
Vulnerability: Authentication Bypass RCE
Family: PSYRAT
Type: PE32
MD5: 0e6e40aad3e8d46e3c0c26ccc6ab94b3
Vuln ID: MVID-2024-0677
Disclosure: 04/01/2024
Description: The PsyRAT 0.01 malware listens on…
Posted by Valentin Lobstein via Fulldisclosure on Apr 05
CVE ID: CVE-2024-30929
Description:
A Cross-Site Scripting (XSS) vulnerability has been found in DerbyNet version 9.0, affecting the `playlist.php`
component. This issue allows remote attackers to execute arbitrary code by exploiting the `back` parameter. The
application does not properly sanitize the `back` parameter before it is rendered on the page, thereby allowing the
injection and execution of arbitrary JavaScript code.
Vulnerability…
Posted by Valentin Lobstein via Fulldisclosure on Apr 05
CVE ID: CVE-2024-30928
Description:
An SQL Injection vulnerability has been discovered in DerbyNet version 9.0, particularly within the
`ajax/query.slide.next.inc` file. This vulnerability allows remote attackers to execute arbitrary code and disclose
sensitive information by exploiting the unvalidated `classids` parameter used in constructing SQL queries. This
parameter is not properly sanitized before being included in the SQL statement,…
Posted by Valentin Lobstein via Fulldisclosure on Apr 05
CVE ID: CVE-2024-30927
Description:
A Cross-Site Scripting (XSS) vulnerability is present in DerbyNet version 9.0, specifically within the
`racer-results.php` component. This issue allows remote attackers to execute arbitrary code through the improper
handling of the `racerid` parameter. The vulnerability is notably present within the HTML `<title>` tag, where the
`racerid` parameter value is dynamically inserted directly into the page…
Posted by Valentin Lobstein via Fulldisclosure on Apr 05
CVE ID: CVE-2024-30926
Description:
A Cross-Site Scripting (XSS) vulnerability has been identified in DerbyNet version 9.0, affecting the
`./inc/kiosks.inc` component. This vulnerability permits remote attackers to execute arbitrary code by exploiting the
`address_for_current_kiosk()` function. The issue stems from the improper sanitization of user-supplied input via the
URL parameters `id` and `address`, which are directly utilized without…
Posted by Valentin Lobstein via Fulldisclosure on Apr 05
CVE ID: CVE-2024-30925
Description:
A Cross-Site Scripting (XSS) vulnerability exists in DerbyNet version 9.0, specifically within the `photo-thumbs.php`
component. This issue enables a remote attacker to execute arbitrary code through the improper handling of the
`racerid` and `back` parameters. The vulnerability arises because the application dynamically generates URLs for
navigation without adequately sanitizing these parameters, thus…