CVE-2020-8115 (GCVE-0-2020-8115)
Vulnerability from cvelistv5 – Published: 2020-02-04 19:08 – Updated: 2024-08-04 09:48Summary
A reflected XSS vulnerability has been discovered in the publicly accessible afr.php delivery script of Revive Adserver <= 5.0.3 by Jacopo Tediosi. There are currently no known exploits: the session identifier cannot be accessed as it is stored in an http-only cookie as of v3.2.2. On older versions, however, under specific circumstances, it could be possible to steal the session identifier and gain access to the admin interface. The query string sent to the www/delivery/afr.php script was printed back without proper escaping in a JavaScript context, allowing an attacker to execute arbitrary JS code on the browser of the victim.
Severity
6.1 (Medium)
CWE
- CWE-79 - Cross-site Scripting (XSS) - Reflected (CWE-79)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://hackerone.com/reports/775693 | x_refsource_MISC |
| https://www.revive-adserver.com/security/revive-s… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | https://github.com/revive-adserver/revive-adserver |
Affected:
Fixed version v5.0.4
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 76ae0e8c-26da-4d49-903b-4b83d1f6f7be
Exploited: Yes
Timestamps
First Seen: 2020-02-04
Asserted: 2020-02-04
Scope
Notes: A reflected XSS vulnerability has been discovered in the publicly accessible afr.php delivery script of Revive Adserver <= 5.0.3 by Jacopo... | Affected: Revive Adserver / Revive Adserver | CVSS: 6.1 (MEDIUM) | EPSS: 0.07055 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | A reflected XSS vulnerability has been discovered in the publicly accessible afr.php delivery script of Revive Adserver <= 5.0.3 by Jacopo... |
| Cve Id | CVE-2020-8115 |
| Vendor | Revive Adserver |
| Ghsa Id | None |
| Product | Revive Adserver |
| Added Date | 2020-02-04T19:08:57.000Z |
| Cvss Score | 6.1 |
| Epss Score | 0.07055 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.94007 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2020-8115 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:11 CEST
| Updated: 2026-10-02 09:11 CEST
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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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