CVE-2017-5030 (GCVE-0-2017-5030)
Vulnerability from cvelistv5 – Published: 2017-04-24 23:00 – Updated: 2025-10-21 23:55Summary
Incorrect handling of complex species in V8 in Google Chrome prior to 57.0.2987.98 for Linux, Windows, and Mac and 57.0.2987.108 for Android allowed a remote attacker to execute arbitrary code via a crafted HTML page.
Severity
8.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-29 17:17 UTC
CWE
- heap buffer overflow
- CWE-125 - Out-of-bounds Read
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://chromereleases.googleblog.com/2017/03/sta… | x_refsource_CONFIRM |
| https://security.gentoo.org/glsa/201704-02 | vendor-advisoryx_refsource_GENTOO |
| https://crbug.com/682194 | x_refsource_CONFIRM |
| http://www.debian.org/security/2017/dsa-3810 | vendor-advisoryx_refsource_DEBIAN |
| http://www.securityfocus.com/bid/96767 | vdb-entryx_refsource_BID |
| http://rhn.redhat.com/errata/RHSA-2017-0499.html | vendor-advisoryx_refsource_REDHAT |
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | Google Chrome prior to 57.0.2987.98 for Linux, Windows and Mac, and 57.0.2987.108 for Android |
Affected:
Google Chrome prior to 57.0.2987.98 for Linux, Windows and Mac, and 57.0.2987.108 for Android
|
Date Public
2017-03-09 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 34769deb-b6ac-4e4f-a414-60abc6613f29
Exploited: Yes
Timestamps
First Seen: 2022-06-08
Asserted: 2022-06-08
Scope
Notes: KEV entry: Google Chromium V8 Memory Corruption Vulnerability | Affected: Google / Chromium V8 | Description: Google Chromium V8 Engine contains a memory corruption vulnerability that allows a remote attacker to execute code via a crafted HTML page. This vulnerability could affect multiple web browsers that utilize Chromium, including, but not limited to, Google Chrome, Microsoft Edge, and Opera. | Required action: Apply updates per vendor instructions. | Due date: 2022-06-22 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2017-5030
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-125 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Chromium V8 |
| Due Date | 2022-06-22 |
| Date Added | 2022-06-08 |
| Vendorproject | |
| Vulnerabilityname | Google Chromium V8 Memory Corruption Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:27 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: fe472a62-e27c-4025-8db5-f9c456311e01
Exploited: Yes
Timestamps
First Seen: 2022-06-08
Asserted: 2022-06-08
Scope
Notes: KEVIntel entry: Incorrect handling of complex species in V8 in Google Chrome prior to 57.0.2987.98 for Linux, Windows, and Mac and 57.0.2987.108 for Android... | Affected: Google / Google Chrome prior to 57.0.2987.98 for Linux, Windows and Mac, and 57.0.2987.108 for Android | CVSS: 8.8 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Incorrect handling of complex species in V8 in Google Chrome prior to 57.0.2987.98 for Linux, Windows, and Mac and 57.0.2987.108 for Android... |
| Vendor | |
| Product | Google Chrome prior to 57.0.2987.98 for Linux, Windows and Mac, and 57.0.2987.108 for Android |
| Added Date | 2022-06-08T00:00:00.000Z |
| Cvss Score | 8.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:05 UTC
| Updated: 2026-07-10 06:14 UTC
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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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