Fuji Alpha5 Smart Loader up to 3.7 File Parser memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Fuji Alpha5 Smart Loader up to 3.7. This affects an unknown part of the component File Parser. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2018-14788. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as critical, has been found in Fuji Alpha5 Smart Loader up to 3.7. This issue affects an unknown functionality of the component File Parser. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Fuji Electric Alpha5 Smart Loader Versions 3.7 and prior. A buffer overflow information disclosure vulnerability occurs when parsing certain file types.
The bug was discovered 09/27/2018. The weakness was presented 10/01/2018 (Website). It is possible to read the advisory at securityfocus.com. The identification of this vulnerability is CVE-2018-14788 since 08/01/2018. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available.
The vulnerability was handled as a non-public zero-day exploit for at least 4 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 105411†). See VDB-124645 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.3
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.3
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/01/2018 🔍09/27/2018 🔍
10/01/2018 🔍
10/01/2018 🔍
10/02/2018 🔍
03/28/2020 🔍
Sources
Advisory: securityfocus.com⛔Status: Not defined
CVE: CVE-2018-14788 (🔍)
GCVE (CVE): GCVE-0-2018-14788
GCVE (VulDB): GCVE-100-124643
SecurityFocus: 105411
See also: 🔍
Entry
Created: 10/02/2018 07:38Updated: 03/28/2020 15:06
Changes: 10/02/2018 07:38 (58), 03/28/2020 15:06 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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