CVE-2017-1772 (GCVE-0-2017-1772)
Vulnerability from cvelistv5 – Published: 2018-04-04 18:00 – Updated: 2024-09-16 22:56
VLAI
EPSS
VEX
Summary
IBM Worklight (IBM MobileFirst Platform Foundation 6.3, 7.0, 7.1, and 8.0) is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 136786.
Severity
6.1 (Medium)
CWE
- Cross-Site Scripting
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/103735 | vdb-entryx_refsource_BID |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | x_refsource_MISC |
| http://www.ibm.com/support/docview.wss?uid=swg2C1000369 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| IBM | MobileFirst Platform Foundation |
Affected:
6.3
Affected: 7.0 Affected: 7.1 Affected: 8.0 |
guessed |
Date Public
2018-03-30 00:00
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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.
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.
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