| Recurring |
multiple_organization |
<Article 104182> The incident reported in the news article does not specifically mention a previous similar incident happening again at the same organization or with its products and services. However, the article does highlight the potential risks and consequences of such a data leak, indicating the importance of robust security measures to prevent such incidents in the future.
Regarding similar incidents happening at other organizations or with their products and services, the article mentions that the source of the leak could be a fleet or toll road operator. Security researcher Troy Hunt suggests that the nature of the breach would be trivial for someone with technological knowledge to uncover, raising concerns about the accessibility of such sensitive data. This implies that similar incidents could potentially occur at other organizations that handle sensitive information and store data in a vulnerable manner [104182]. |
| Phase (Design/Operation) |
design, operation |
(a) The software failure incident related to the design phase can be attributed to the misconfiguration of the Amazon cloud storage service where the data containing sensitive information was stored. The incident occurred due to a misconfigured S3 bucket, which allowed public access to the scanned driver's licenses and toll notices [104182].
(b) The software failure incident related to the operation phase can be linked to the exposure of personal information such as phone numbers, addresses, and birth dates due to the misconfiguration of the Amazon cloud storage service. This exposure occurred during the operation of the system, making the data available for public view [104182]. |
| Boundary (Internal/External) |
within_system, outside_system |
(a) within_system: The software failure incident in this case was primarily due to a misconfiguration within the system. The incident involved a misconfigured Amazon S3 bucket where more than 50,000 scanned driver's licenses and toll notices were exposed to public view. This misconfiguration allowed unauthorized access to sensitive personal information such as phone numbers, addresses, and birth dates [104182].
(b) outside_system: The incident also involved external factors contributing to the failure. The data leak was discovered by a Ukrainian security consultant, Bob Diachenko, who stumbled upon the exposed files. Additionally, the nature of the breach, which involved toll notices, suggested that the source of the leak could be a toll operator or a fleet operator, indicating an external origin of the contributing factors [104182]. |
| Nature (Human/Non-human) |
non-human_actions, human_actions |
(a) The software failure incident in this case was primarily due to non-human actions, specifically a misconfiguration of an Amazon cloud storage service where the data was stored. The incident occurred because the data containing sensitive information such as scanned driver's licenses and toll notices was exposed in a misconfigured S3 bucket, making it available for public view [104182].
(b) Human actions also played a role in this software failure incident. The data leak was discovered by a Ukrainian security consultant, Bob Diachenko, who stumbled upon the exposed folder of PDF and JPG files containing the scanned images of driver's licenses. Additionally, the incident highlighted the potential risks posed by malicious actors who could have accessed and made copies of the exposed data, leading to identity theft and financial fraud [104182]. |
| Dimension (Hardware/Software) |
software |
(a) The software failure incident in the news article is not directly attributed to hardware issues. The incident primarily involves a data leak where more than 50,000 driving licenses were exposed online due to a misconfigured Amazon cloud storage service [104182].
(b) The software failure incident in the news article is attributed to a misconfiguration in the Amazon cloud storage service, which led to the exposure of sensitive data such as scanned driver's licenses, toll notices, phone numbers, addresses, and birth dates. This misconfiguration allowed the data to be publicly viewable, leading to a significant privacy breach [104182]. |
| Objective (Malicious/Non-malicious) |
malicious |
(a) The software failure incident in this case is malicious in nature. The incident involved a data leak where more than 50,000 driving licenses were exposed online due to a misconfigured Amazon cloud storage service. The leaked data included sensitive information such as phone numbers, addresses, birth dates, and scanned images of driver's licenses [104182].
The security consultant who discovered the leak labeled it as a "dangerous exposure" and mentioned that malicious actors could have accessed the files and potentially made copies of them for fraudulent activities like identity theft, applying for credit cards, or other scams. The stolen driver's licenses were described as a "golden ticket" for scammers to carry out various fraudulent activities, including opening bank accounts, taking out loans, and making purchases under victims' names [104182].
The incident highlights how the failure was caused by human actions with the intent to harm individuals by exploiting their personal information for financial gain or other malicious purposes. |
| Intent (Poor/Accidental Decisions) |
poor_decisions, accidental_decisions |
(a) The software failure incident involving the leak of over 50,000 driving licenses online was primarily due to poor decisions related to the misconfiguration of an Amazon cloud storage service. The incident was caused by a misconfigured S3 bucket where the sensitive data was stored, allowing public access to personal information such as phone numbers, addresses, birth dates, and scanned images of driver's licenses [104182]. This misconfiguration was a result of poor decisions made during the setup and management of the cloud storage service, leading to a significant data breach with severe consequences for the individuals affected.
(b) Additionally, the incident could also be attributed to accidental decisions or mistakes made during the handling of the sensitive data. The exposure of the driver's licenses and toll notices was not intentional but rather a result of oversight or negligence in ensuring the security and privacy of the stored information. The accidental exposure of such critical personal data could have been prevented with more rigorous security measures and proper data handling protocols [104182]. |
| Capability (Incompetence/Accidental) |
accidental |
(a) The software failure incident in the reported articles does not seem to be directly related to development incompetence. The incident was primarily caused by a misconfiguration in the storage system that led to the exposure of sensitive data [104182].
(b) The software failure incident was accidental in nature, as it was a result of a misconfigured Amazon cloud storage service that exposed more than 50,000 scanned driver's licenses and toll notices to the public view. The exposure of this data was not intentional but rather a result of a mistake or oversight in the configuration of the storage system [104182]. |
| Duration |
permanent, temporary |
(a) The software failure incident in this case appears to be permanent as the data leak of more than 50,000 driving licenses was due to a misconfigured Amazon S3 bucket where the sensitive information was stored. The incident was not a temporary glitch but a result of a configuration error that allowed public access to the data [104182]. The breach was described as a 'dangerous exposure' by the security consultant who discovered it, indicating a serious and ongoing issue rather than a temporary one.
(b) The incident could also be considered temporary in the sense that the data was exposed for a period of time before being secured. The security consultant mentioned that the data was 'most likely part of NSW RMS infrastructure' and that it is now secured, implying that the exposure was not a continuous state but rather a situation that existed for a certain duration before being rectified [104182]. |
| Behaviour |
omission, value, other |
(a) crash: The incident described in the articles does not specifically mention a system crash where the system loses state and stops performing its intended functions.
(b) omission: The software failure incident in the articles can be categorized under omission as the system omitted to secure the sensitive data properly, leading to the exposure of over 50,000 scanned driver's licenses and toll notices [104182].
(c) timing: The incident does not relate to a timing failure where the system performs its intended functions but at the wrong time.
(d) value: The software failure incident can be attributed to a value failure as the system failed to protect the personal information stored in the Amazon cloud storage service, allowing public access to phone numbers, addresses, birth dates, and scanned images of driver's licenses [104182].
(e) byzantine: The incident does not align with a byzantine failure where the system behaves erroneously with inconsistent responses and interactions.
(f) other: The other behavior observed in this software failure incident is a misconfiguration of the Amazon S3 bucket, leading to the exposure of sensitive data. This misconfiguration allowed public access to the stored information, indicating a configuration error as a contributing factor to the incident [104182]. |