GHSA-G42R-FH8W-CM5M
Vulnerability from github – Published: 2025-01-09 09:31 – Updated: 2025-01-09 15:31There are many buffer overflow vulnerabilities present in several CGI binaries of the charging station.This issue affects Iocharger firmware for AC model chargers beforeversion 24120701.
Likelihood: High – Given the prevalence of these buffer overflows, and the clear error message of the web server, an attacker is very likely to be able to find these vulnerabilities.
Impact: Low – Usually, overflowing one of these buffers just causes a segmentation fault of the CGI binary, which causes the web server to return a 502 Bad Gateway error. However the webserver itself is not affected, and no DoS can be achieved. Abusing these buffer overflows in a meaningful way requires highly technical knowledge, especially since ASLR also seems to be enabled on the charging station. However, a skilled attacker might be able to use one of these buffer overflows to obtain remote code execution.
CVSS clarification. The attack can be executed over any network connection the station is listening to and serves the web interface (AV:N), and there are no additional security measure sin place that need to be circumvented (AC:L), the attack does not rely on preconditions (AT:N). The attack does require authentication, but the level of authentication is irrelevant (PR:L), it does not require user interaction (UI:N). The attack has a small impact on the availability of the device (VC:N/VI:N/VA:L). There is no impact on subsequent systems. (SC:N/SI:N/SA:N). While this device is an EV charger handing significant amounts of power, we do not expect this vulnerability to have a safety impact. The attack can be automated (AU:Y).
{
"affected": [],
"aliases": [
"CVE-2024-43663"
],
"database_specific": {
"cwe_ids": [
"CWE-121"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-01-09T08:15:29Z",
"severity": "MODERATE"
},
"details": "There are many buffer overflow vulnerabilities present in several CGI binaries of the charging station.This issue affects Iocharger firmware for AC model chargers beforeversion 24120701.\n\nLikelihood: High \u2013 Given the prevalence of these buffer overflows, and the clear error message of the web server, an attacker is very likely to be able to find these vulnerabilities.\n\nImpact: Low \u2013 Usually, overflowing one of these buffers just causes a segmentation fault of the CGI binary, which causes the web server to return a 502 Bad Gateway error. However the webserver itself is not affected, and no DoS can be achieved. Abusing these buffer overflows in a meaningful way requires highly technical knowledge, especially since ASLR also seems to be enabled on the charging station. However, a skilled attacker might be able to use one of these buffer overflows to obtain remote code execution.\n\nCVSS clarification. The attack can be executed over any network connection the station is listening to and serves the web interface (AV:N), and there are no additional security measure sin place that need to be circumvented (AC:L), the attack does not rely on preconditions (AT:N). The attack does require authentication, but the level of authentication is irrelevant (PR:L), it does not require user interaction (UI:N). The attack has a small impact on the availability of the device (VC:N/VI:N/VA:L). There is no impact on subsequent systems. (SC:N/SI:N/SA:N). While this device is an EV charger handing significant amounts of power, we do not expect\u00a0 this vulnerability to have a safety impact. The attack can be automated (AU:Y).",
"id": "GHSA-g42r-fh8w-cm5m",
"modified": "2025-01-09T15:31:51Z",
"published": "2025-01-09T09:31:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-43663"
},
{
"type": "WEB",
"url": "https://csirt.divd.nl/CVE-2024-43663"
},
{
"type": "WEB",
"url": "https://csirt.divd.nl/DIVD-2024-00035"
},
{
"type": "WEB",
"url": "https://iocharger.com"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:Y/R:A/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.
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.