Presenter: Joey Watts @joeywatts96
Multiple vulnerabilities in the Citrix Application Delivery Controller (ADC) and Gateway would allow code injection, information disclosure and denial of service, the networking vendor announced Tuesday. Four of the bugs are exploitable by an unauthenticated, remote attacker.
The Citrix products (formerly known as NetScaler ADC and Gateway) are used for application-aware traffic management and secure remote access, respectively, and are installed in at least 80,000 companies in 158 countries, according to a December assessment from Positive Technologies.
Other flaws announced Tuesday also affect Citrix SD-WAN WANOP appliances, models 4000-WO, 4100-WO, 5000-WO and 5100-WO.
Attacks on the management interface of the products could result in system compromise by an unauthenticated user on the management network; or system compromise through cross-site scripting (XSS). Attackers could also create a download link for the device which, if downloaded and then executed by an unauthenticated user on the management network, could result in the compromise of a local computer.
“Customers who have configured their systems in accordance with Citrix recommendations [i.e., to have this interface separated from the network and protected by a firewall] have significantly reduced their risk from attacks to the management interface,” according to the vendor.
Threat actors could also mount attacks on Virtual IPs (VIPs). VIPs, among other things, are used to provide users with a unique IP address for communicating with network resources for applications that do not allow multiple connections or users from the same IP address.
The VIP attacks include denial of service against either the Gateway or Authentication virtual servers by an unauthenticated user; or remote port scanning of the internal network by an authenticated Citrix Gateway user.
“Attackers can only discern whether a TLS connection is possible with the port and cannot communicate further with the end devices,” according to the critical Citrix advisory. “Customers who have not enabled either the Gateway or Authentication virtual servers are not at risk from attacks that are applicable to those servers. Other virtual servers e.g. load balancing and content switching virtual servers are not affected by these issues.”
A final vulnerability has been found in Citrix Gateway Plug-in for Linux that would allow a local logged-on user of a Linux system with that plug-in installed to elevate their privileges to an administrator account on that computer, the company said.
#vulnerabilities #adc #citrix #code injection #critical advisory #cve-2020-8187 #cve-2020-8190 #cve-2020-8191 #cve-2020-8193 #cve-2020-8194 #cve-2020-8195 #cve-2020-8196 #cve-2020-8197 #cve-2020-8198 #cve-2020-8199 #denial of service #gateway #information disclosure #patches #security advisory #security bugs
The Deep Learning DevCon 2020, DLDC 2020, has exciting talks and sessions around the latest developments in the field of deep learning, that will not only be interesting for professionals of this field but also for the enthusiasts who are willing to make a career in the field of deep learning. The two-day conference scheduled for 29th and 30th October will host paper presentations, tech talks, workshops that will uncover some interesting developments as well as the latest research and advancement of this area. Further to this, with deep learning gaining massive traction, this conference will highlight some fascinating use cases across the world.
Here are ten interesting talks and sessions of DLDC 2020 that one should definitely attend:
By Dipanjan Sarkar
**About: **Adversarial Robustness in Deep Learning is a session presented by Dipanjan Sarkar, a Data Science Lead at Applied Materials, as well as a Google Developer Expert in Machine Learning. In this session, he will focus on the adversarial robustness in the field of deep learning, where he talks about its importance, different types of adversarial attacks, and will showcase some ways to train the neural networks with adversarial realisation. Considering abstract deep learning has brought us tremendous achievements in the fields of computer vision and natural language processing, this talk will be really interesting for people working in this area. With this session, the attendees will have a comprehensive understanding of adversarial perturbations in the field of deep learning and ways to deal with them with common recipes.
By Divye Singh
**About: **Imbalance Handling with Combination of Deep Variational Autoencoder and NEATER is a paper presentation by Divye Singh, who has a masters in technology degree in Mathematical Modeling and Simulation and has the interest to research in the field of artificial intelligence, learning-based systems, machine learning, etc. In this paper presentation, he will talk about the common problem of class imbalance in medical diagnosis and anomaly detection, and how the problem can be solved with a deep learning framework. The talk focuses on the paper, where he has proposed a synergistic over-sampling method generating informative synthetic minority class data by filtering the noise from the over-sampled examples. Further, he will also showcase the experimental results on several real-life imbalanced datasets to prove the effectiveness of the proposed method for binary classification problems.
By Dongsuk Hong
About: This is a paper presentation given by Dongsuk Hong, who is a PhD in Computer Science, and works in the big data centre of Korea Credit Information Services. This talk will introduce the attendees with machine learning and deep learning models for predicting self-employment default rates using credit information. He will talk about the study, where the DNN model is implemented for two purposes — a sub-model for the selection of credit information variables; and works for cascading to the final model that predicts default rates. Hong’s main research area is data analysis of credit information, where she is particularly interested in evaluating the performance of prediction models based on machine learning and deep learning. This talk will be interesting for the deep learning practitioners who are willing to make a career in this field.
#opinions #attend dldc 2020 #deep learning #deep learning sessions #deep learning talks #dldc 2020 #top deep learning sessions at dldc 2020 #top deep learning talks at dldc 2020
I am guessing that many of you use Java as your primary language in your day-to-day work. Have you ever thought about why HotSpot is even called HotSpot or what the Tiered Compilation is and how it relates to Java? I will answer these questions and a few others through the course of this article. I will begin this by explaining a few things about compilation itself and the theory behind it.
In general, we can differentiate two basic ways of translating human readable code to instructions that can be understood by our computers:
As you can see both types have their advantages and disadvantages and are dedicated to specific use cases and will probably fail if not used in the correct case. You may ask – if there are only two ways does it mean that Java is an interpreted or a statically compiled language?
#java #jvm #compiler #graalvm #hotspot #compilation #jit compiler #native image #aot #tiered compilation
Researchers identified serious flaws in Qualcomm’s Snapdragon SoC and the Hexagon architecture that impacts nearly half of Android handsets.
Six serious bugs in Qualcomm’s Snapdragon mobile chipset impact up to 40 percent of Android phones in use, according research released at the DEF CON Safe Mode security conference Friday.
The flaws open up handsets made by Google, Samsung, LG, Xiaomi and OnePlus to DoS and escalation-of-privileges attacks – ultimately giving hackers control of targeted handsets. Slava Makkaveev, a security researcher with Check Point, outlined his discoveryand said while Qualcomm has provided patches for the bug, most OEM handset makers have not yet pushed out the patches.
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The faulty Qualcomm component is the mobile chip giant’s Snapdragon SoC and the Hexagon architecture. Hexagon a brand name for Qualcomm’s digital signal processor (DSP), part of the SoC’s microarchitecture. DSP controls the processing of real-time request between the Android user environment and the Snapdragon processor’s firmware – in charge of turning voice, video and services such GPS location sensors into computationally actionable data.
Makkaveev said the DSP flaws can be used to harvest photos, videos, call recordings, real-time microphone data, and GPS and location data. A hacker could also cripple a targeted phone or implant malware that would go undetected.
The six flaws are CVE-2020-11201, CVE-2020-11202, CVE-2020-11206, CVE-2020-11207, CVE-2020-11208 and CVE-2020-11209. Using a fuzzing technique against handsets with the vulnerable chipset, Check Point was able to identify 400 discrete attacks.
The prerequisite for exploiting the vulnerabilities is the target would need to be coaxed into downloading and running a rogue executable.
Qualcomm declined to answer specific questions regarding the bugs and instead issued a statement:
“Providing technologies that support robust security and privacy is a priority for Qualcomm. Regarding the Qualcomm Compute DSP vulnerability disclosed by Check Point, we worked diligently to validate the issue and make appropriate mitigations available to OEMs. We have no evidence it is currently being exploited. We encourage end users to update their devices as patches become available and to only install applications from trusted locations such as the Google Play Store.” – Qualcomm Spokesperson
The flaws were brought to Qualcomm’s attention between February and March. Patches developed by Qualcomm in July. A cursory review of vulnerabilities patched in the July and August Google Android Security Bulletins reveal patches haven’t been yet been pushed to handsets. For that reason, Check Point chose not to reveal technical specifics of the flaws.
What technical details that are available can be found in a DEF CON Safe Mode video posted to online. Here Makkaveev shares some technical specifics.
#hacks #mobile security #vulnerabilities #cve-2020-11201 #cve-2020-11202 #cve-2020-11206 #cve-2020-11207 #cve-2020-11208 #cve-2020-11209 #def con safe mode #digital signal processor #dos #dsp #escalation of privileges attack #google #hexagon architecture #lg #oneplus #qualcomm #samsung #snapdragon #soc #xiaomi
Cisco has stomped out a slew of high-severity vulnerabilities across its lineup of network-security products. The most severe flaws can be exploited by an unauthenticated, remote attacker to launch a passel of malicious attacks — from denial of service (DoS) to cross-site request forgery (CSRF).
The vulnerabilities exist in Cisco’s Firepower Threat Defense (FTD) software, which is part of its suite of network-security and traffic-management products; and its Adaptive Security Appliance (ASA) software, the operating system for its family of ASA corporate network-security devices.
“The Cisco Product Security Incident Response Team is not aware of any public announcements or malicious use of the vulnerability that is described in this advisory,” according to Cisco in an update released on Wednesday.
The most severe of these flaws includes a vulnerability in Cisco Firepower Chassis Manager (FCM), which exists in the Firepower Extensible Operating System (FXOS) and provides management capabilities.
The flaw (CVE-2020-3456) ranks 8.8 out of 10 on the CVSS scale, and stems from insufficient CSRF protections in the FCM interface. It could be exploited to enable CSRF — which means that when attackers are authenticated on the server, they also have control over the client.
“An attacker could exploit this vulnerability by persuading a targeted user to click a malicious link,” according to Cisco. “A successful exploit could allow the attacker to send arbitrary requests that could take unauthorized actions on behalf of the targeted user.”
Cisco FXOS Software is affected when it is running on Firepower 2100 Series Appliances (when running ASA Software in non-appliance mode), Firepower 4100 Series Appliances and Firepower 9300 Series Appliances.
Four other high-severity vulnerabilities across Cisco’s Firepower brand could be exploited by an unauthenticated, remote attacker to cripple affected devices with a DoS condition. These include a flaw in Firepower’s Management Center Software (CVE-2020-3499), Cisco Firepower 2100 Series firewalls (CVE-2020-3562), Cisco Firepower 4110 appliances (CVE-2020-3571) and Cisco Firepower Threat Defense Software (CVE-2020-3563 and CVE-2020-3563).
Cisco also patched multiple DoS flaws in its Adaptive Security Appliance software, including ones tied to CVE-2020-3304, CVE-2020-3529, CVE-2020-3528, CVE-2020-3554, CVE-2020-3572and CVE-2020-3373 that could allow an unauthenticated, remote attacker to cause an affected device to reload unexpectedly.
Another flaw of note, in the web services interface of Cisco Adaptive Security Appliance and Firepower Threat Defense, could allow an unauthenticated, remote attacker to upload arbitrary-sized files to specific folders on an affected device, which could lead to an unexpected device reload.
The flaw stems from the software not efficiently handling the writing of large files to specific folders on the local file system.
The new security alerts come a day after Cisco sent out an advisory warning that a flaw (CVE-2020-3118) the Cisco Discovery Protocol implementation for Cisco IOS XR Software was being actively exploited by attackers. The bug, which could be exploited by unauthenticated, adjacent attackers, could allow them to execute arbitrary code or cause a reload on an affected device.
#vulnerabilities #web security #adaptive security appliance #bugs #cisco #cross-site request forgery #csrf #cve-2020-3456 #cve-2020-3499 #cve-2020-3562 #cve-2020-3563 #cve-2020-3571 #denial of service #dos #firepower threat defense #patches #security vulnerabilities