FKIE_CVE-2008-3905
Vulnerability from fkie_nvd - Published: 2008-09-04 17:41 - Updated: 2026-06-16 22:56
Severity
Summary
resolv.rb in Ruby 1.8.5 and earlier, 1.8.6 before 1.8.6-p287, 1.8.7 before 1.8.7-p72, and 1.9 r18423 and earlier uses sequential transaction IDs and constant source ports for DNS requests, which makes it easier for remote attackers to spoof DNS responses, a different vulnerability than CVE-2008-1447.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ruby-lang | ruby | * | |
| ruby-lang | ruby | * | |
| ruby-lang | ruby | * | |
| ruby-lang | ruby | * | |
| ruby-lang | ruby | 1.6 | |
| ruby-lang | ruby | 1.6.8 | |
| ruby-lang | ruby | 1.8.0 | |
| ruby-lang | ruby | 1.8.1 | |
| ruby-lang | ruby | 1.8.2 | |
| ruby-lang | ruby | 1.8.3 | |
| ruby-lang | ruby | 1.8.4 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.6 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 |
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"descriptions": [
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"lang": "en",
"value": "resolv.rb in Ruby 1.8.5 and earlier, 1.8.6 before 1.8.6-p287, 1.8.7 before 1.8.7-p72, and 1.9 r18423 and earlier uses sequential transaction IDs and constant source ports for DNS requests, which makes it easier for remote attackers to spoof DNS responses, a different vulnerability than CVE-2008-1447."
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}
],
"id": "CVE-2008-3905",
"lastModified": "2026-06-16T22:56:46.730",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.8,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:P",
"version": "2.0"
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"impactScore": 4.9,
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"published": "2008-09-04T17:41:00.000",
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}
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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.
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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.
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