Recurring |
one_organization, multiple_organization |
(a) The software failure incident has happened again at one_organization:
The article mentions that the researcher first found the flaw in cameras made by Spanish camera maker TBK Vision, but then found that several other brands from around the globe appeared to be affected, including cameras sold by CeNova, Night Owl, Nova, Pulnix, Q-See, and Securus. This indicates that the software failure incident has happened again within the same organization (TBK Vision) as well as with its products and services [71482].
(b) The software failure incident has happened again at multiple_organization:
The article highlights that the flaw discovered by the researcher affected not only cameras made by TBK Vision but also cameras from other brands such as CeNova, Night Owl, Nova, Pulnix, Q-See, and Securus. This indicates that the software failure incident has happened again at multiple organizations or with their products and services [71482]. |
Phase (Design/Operation) |
design, operation |
(a) The software failure incident in the articles can be attributed to the design phase. The vulnerability in the surveillance cameras was due to a flaw that allowed hackers to exploit a short line of code to log in and access the cameras' username and password in plain text. This flaw was present in cameras from various brands, indicating a design issue in the cameras' software [71482].
(b) The software failure incident can also be linked to the operation phase. The vulnerability was exacerbated by the use of default passwords for the cameras, making them easy targets for hackers. Additionally, the incident mentions how hackers can find these cameras online using search engines and attempt to log in, highlighting the operational aspect of the security breach [71482]. |
Boundary (Internal/External) |
within_system, outside_system |
(a) within_system: The software failure incident reported in the article is primarily within the system. The vulnerability in the surveillance cameras, allowing hackers to exploit a flaw to log in and access the cameras' username and password in plain text, originates from within the system itself. The flaw was found in cameras made by various brands, indicating an internal issue within the design or implementation of the cameras' software [71482].
(b) outside_system: Additionally, external factors contribute to the software failure incident. The use of default passwords in internet-connected surveillance systems makes them especially vulnerable to hackers. Hackers can easily locate these cameras online using search engines like Google or Shodan, which are external tools that facilitate the identification of vulnerable devices. The Mirai attacks in 2016, where hackers infected internet-connected cameras with malicious software to create a network of hacked devices, also highlight the impact of external factors on the vulnerability of these systems [71482]. |
Nature (Human/Non-human) |
non-human_actions, human_actions |
(a) The software failure incident occurring due to non-human actions:
The software failure incident in this case is primarily due to a flaw in the surveillance cameras' software that allows hackers to exploit it with a short line of code, enabling them to log in and access the cameras' username and password in plain text. This vulnerability in the cameras' software was identified by a researcher, Ezequiel Fernandez, who found that multiple brands of cameras from different manufacturers were affected by this flaw [71482].
(b) The software failure incident occurring due to human actions:
The software failure incident also involves human actions, particularly in the aspect of default passwords being used for the internet-connected surveillance cameras. The article highlights that these cameras are especially vulnerable to hackers when default passwords like "admin" are not changed, making it easier for hackers to access the cameras. Additionally, the lack of response from some camera manufacturers to address the issue or provide comments on the vulnerability also reflects a human factor contributing to the software failure incident [71482]. |
Dimension (Hardware/Software) |
hardware, software |
(a) The software failure incident in the article is primarily related to hardware vulnerabilities in surveillance cameras. The flaw that allowed hackers to exploit the cameras and access login credentials was a hardware vulnerability present in cameras from various brands like TBK Vision, CeNova, Night Owl, Nova, Pulnix, Q-See, and Securus [71482].
(b) The software failure incident also has a software aspect to it as the flaw in the surveillance cameras allowed hackers to exploit the software running on the cameras to retrieve usernames and passwords in plain text. This software vulnerability enabled the unauthorized access to the cameras [71482]. |
Objective (Malicious/Non-malicious) |
malicious |
(a) The objective of the software failure incident was malicious. The incident involved a flaw in surveillance cameras that allowed hackers to easily exploit and access the cameras' login credentials. This vulnerability could be used by hackers to gain unauthorized access to the cameras, potentially for malicious purposes such as surveillance, data theft, or further attacks. The article mentions previous incidents like the Mirai attacks in 2016, where hacked cameras were used to create a network of compromised devices to launch large-scale attacks on popular websites [71482]. |
Intent (Poor/Accidental Decisions) |
poor_decisions |
(a) The intent of the software failure incident related to poor_decisions:
- The software failure incident involving tens of thousands of surveillance cameras being vulnerable to hackers was primarily due to poor decisions such as using default passwords for the cameras, making them easily accessible to hackers [71482].
(b) The intent of the software failure incident related to accidental_decisions:
- The software failure incident did not specifically mention any accidental decisions contributing to the vulnerability of the surveillance cameras to hackers. |
Capability (Incompetence/Accidental) |
development_incompetence, accidental |
(a) The software failure incident in Article 71482 can be attributed to development incompetence. The vulnerability in the surveillance cameras was due to a flaw that a researcher in Argentina found, which allowed anyone with a short line of code to exploit and log in to the cameras. This flaw was present in cameras made by various brands from around the globe, indicating a lack of professional competence in ensuring the security of these devices [71482].
(b) Additionally, the incident can also be categorized as accidental, as the flaw in the cameras that made them vulnerable to hackers was not intentional but rather a result of oversight or lack of proper security measures during the development and manufacturing process. The fact that default passwords were a significant factor in the vulnerability further supports the accidental nature of the incident [71482]. |
Duration |
permanent |
(a) The software failure incident described in the article is more aligned with a permanent failure. The vulnerability in the surveillance cameras that allowed hackers to exploit a flaw in the system to log in was a fundamental issue with the design and implementation of the cameras themselves. This flaw could be consistently exploited by anyone with the knowledge of a short line of code, indicating a systemic issue that persisted until addressed.
Additionally, the article mentions past incidents like the Mirai attacks in 2016, where hackers were able to access internet-connected cameras and create a network of hacked devices. This historical context suggests that the vulnerability in such devices can lead to long-term consequences and persistent risks of exploitation by malicious actors.
Therefore, the software failure incident in this case appears to be more of a permanent nature, as the underlying vulnerability in the surveillance cameras could continue to pose a threat until mitigated [71482]. |
Behaviour |
omission, value, other |
(a) crash: The article mentions the Mirai attacks in 2016 where hackers accessed internet-connected cameras and infected them with malicious software, creating a network of hacked devices. The hackers then used the cameras to send an overwhelming number of requests to popular websites like Twitter, Reddit, and Netflix, temporarily taking them offline [71482].
(b) omission: The vulnerability in the surveillance cameras allowed hackers to exploit a flaw that enabled them to receive a camera's username and password in plain text. This omission in the security system allowed unauthorized access to the cameras [71482].
(c) timing: The article does not specifically mention any failures related to timing.
(d) value: The software failure incident in this case is related to the system performing its intended functions incorrectly, as hackers were able to exploit a flaw in the cameras to access login credentials [71482].
(e) byzantine: The article does not mention any failures related to the system behaving erroneously with inconsistent responses and interactions.
(f) other: The other behavior observed in this software failure incident is the vulnerability of internet-connected surveillance systems due to default passwords. Hackers could easily find these cameras online using search engines and attempt to log in, especially when default passwords like "admin" are used, making unauthorized access easier [71482]. |