VAR-201812-0246
Vulnerability from variot - Updated: 2024-11-23 22:45spaces.htm on multiple D-Link devices (DSL, DIR, DWR) allows remote unauthenticated attackers to discover admin credentials. plural D-Link device (DSL , DIR , DWR) Contains vulnerabilities related to certificate and password management.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. D-LinkDSL-2770L and others are all wireless router products of D-Link. There are security holes in the spaces.htm file in several D-Link devices. A remote attacker can exploit this vulnerability to divulge admin credentials. Multiple D-Link Routers are prone to an information-disclosure vulnerability. Attackers can exploit this issue to obtain sensitive information that may aid in launching further attacks. The following products and versions are vulnerable: D-Link DSL-2770L ME 1.01, ME 1.02, AU 1.06 D-Link DIR-140L, and DIR-640L versions 1.00, 1.01RU, 1.02 D-Link DWR-116, DWR-512, DWR-555, and DWR-921 versions 1.03, 1.05, 2.01, 2.02. The following products and versions are affected: D-Link DSL-2770L Version ME_1.01, Version ME_1.02, Version AU_1.06; DIR-140L Version 1.00, Version 1.01RU, Version 1.02; DIR-640L Version 1.00, Version 1.01RU , Version 1.02; DWR-116 Version 1.03, Version 1.05, Version 2.01, Version 2.02; DWR-512 Version 1.03, Version 1.05, Version 2.01, Version 2.02; DWR-555 Version 1.03, Version 1.05, Version 2.01, Version 2.02; -921 Version 1.03, Version 1.05, Version 2.01, Version 2.02
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.