Attack vector LOCAL
Attack complexity LOW
Privileges required NONE
Confidentiality impact PARTIAL
Integrity impact NONE
Availability impact NONE
The file /etc/openstack-dashboard/local_settings within Red Hat OpenStack Platform 2.0 and RHOS Essex Release (python-django-horizon package before 2012.1.1) is world readable and exposes the secret key value.
Common Attack Pattern Enumeration and Classification (CAPEC)
An attacker monitors data streams to or from a target in order to gather information. This attack may be undertaken to gather information to support a later attack or the data collected may be the end goal of the attack. This attack usually involves sniffing network traffic, but may include observing other types of data streams, such as radio. In most varieties of this attack, the attacker is passive and simply observes regular communication, however in some variants the attacker may attempt to initiate the establishment of a data stream or influence the nature of the data transmitted. However, in all variants of this attack, and distinguishing this attack from other data collection methods, the attacker is not the intended recipient of the data stream. Unlike some other data leakage attacks, the attacker is observing explicit data channels (e.g. network traffic) and reading the content. This differs from attacks that collect more qualitative information, such as communication volume, or other information not explicitly communicated via a data stream.
- Screen Temporary Files for Sensitive Information
An attacker exploits the temporary, insecure storage of information by monitoring the content of files used to store temp data during an application's routine execution flow. Many applications use temporary files to accelerate processing or to provide records of state across multiple executions of the application. Sometimes, however, these temporary files may end up storing sensitive information. By screening an application's temporary files, an attacker might be able to discover such sensitive information. For example, web browsers often cache content to accelerate subsequent lookups. If the content contains sensitive information then the attacker could recover this from the web cache.
- Sniffing Attacks
An attacker monitors information transmitted between logical or physical nodes of a network. The attacker need not be able to prevent reception or change content but must simply be able to observe and read the traffic. The attacker might precipitate or indirectly influence the content of the observed transaction, but the attacker is never the intended recipient of the information. Any transmission medium can theoretically be sniffed if the attacker can listen to the contents between the sender and recipient.
- Sniffing Network Traffic
An attacker monitoring network traffic between nodes of a public or multicast network. The attacker need not be able to prevent reception or change content but must simply be able to observe and read the traffic. The attacker might precipitate or indirectly influence the content of the observed transaction, but the attacker is never the intended recipient of the information. This differs from other sniffing attacks in that it is over a public network rather via some other communications channel, such as radio.
- Lifting Sensitive Data from the Client
An attacker examines an available client application for the presence of sensitive information. This information may be stored in configuration files, embedded within the application itself, or stored in other ways. Sensitive information may include long-term keys, passwords, credit card or financial information, and other private material that the client uses in its interactions with the server. While servers are (hopefully) protected with professional security administrators, most users may be less skilled at protecting their clients. As a result, the user client may represent a weak link that an attacker can exploit. If an attacker can gain access to a client installation, they may be able to detect and lift sensitive information that could be used directly (such as financial information), or allow the attacker to subvert future communication between the client and the server. In some cases, it may not even be necessary to gain access to another user's installation - if all instances of the client software are embedded with the same sensitive information (for example, long term keys for communication with the server) then the attacker must simply find a way to gain their own copy of the client in order to perform this attack.
|NASL family||Fedora Local Security Checks|
|description|| - drop python-cloudfiles as requirement - fix CVE-2012-5474 Note that Tenable Network Security has extracted the preceding description block directly from the Fedora security advisory. Tenable has attempted to automatically clean and format it as much as possible without introducing additional issues.|
|reporter||This script is Copyright (C) 2012-2015 Tenable Network Security, Inc.|
|title||Fedora 18 : python-django-horizon-2012.2-4.fc18 (2012-18185)|