FKIE_CVE-2015-8124
Vulnerability from fkie_nvd - Published: 2015-12-07 20:59 - Updated: 2026-06-17 00:34
Severity
Summary
Session fixation vulnerability in the "Remember Me" login feature in Symfony 2.3.x before 2.3.35, 2.6.x before 2.6.12, and 2.7.x before 2.7.7 allows remote attackers to hijack web sessions via a session id.
References
Impacted products
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"lang": "es",
"value": "Vulnerabilidad de fijaci\u00f3n de sesi\u00f3n en la funcionalidad de inicio de sesi\u00f3n \u0027Remember Me\u0027 en Symfony 2.3.x en versiones anteriores a 2.3.35, 2.6.x en versiones anteriores a 2.6.12 y 2.7.x en versiones anteriores a 2.7.7 permite a atacantes remotos secuestrar sesiones web a trav\u00e9s de un id de sesi\u00f3n."
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"evaluatorComment": "\u003ca href=\"https://cwe.mitre.org/data/definitions/384.htm\"\u003eCWE-384: Session Fixation\u003c/a\u003e",
"id": "CVE-2015-8124",
"lastModified": "2026-06-17T00:34:04.200",
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"published": "2015-12-07T20:59:14.110",
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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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