GSD-2020-28463
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes & trustedHosts (see in Reportlab's documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -> odyssey -> dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject <img src="http://127.0.0.1:5000" valign="top"/> 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-28463",
"description": "All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes \u0026 trustedHosts (see in Reportlab\u0027s documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -\u003e odyssey -\u003e dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject \u003cimg src=\"http://127.0.0.1:5000\" valign=\"top\"/\u003e 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF",
"id": "GSD-2020-28463",
"references": [
"https://www.suse.com/security/cve/CVE-2020-28463.html",
"https://advisories.mageia.org/CVE-2020-28463.html",
"https://security.archlinux.org/CVE-2020-28463"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-28463"
],
"details": "All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes \u0026 trustedHosts (see in Reportlab\u0027s documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -\u003e odyssey -\u003e dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject \u003cimg src=\"http://127.0.0.1:5000\" valign=\"top\"/\u003e 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF",
"id": "GSD-2020-28463",
"modified": "2023-12-13T01:22:01.850193Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2021-02-18T15:59:17.672425Z",
"ID": "CVE-2020-28463",
"STATE": "PUBLIC",
"TITLE": "Server-side Request Forgery (SSRF)"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "reportlab",
"version": {
"version_data": [
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"version_affected": "\u003e=",
"version_value": "0"
}
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}
}
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"credit": [
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"lang": "eng",
"value": "Karan Bamal"
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"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
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"lang": "eng",
"value": "All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes \u0026 trustedHosts (see in Reportlab\u0027s documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -\u003e odyssey -\u003e dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject \u003cimg src=\"http://127.0.0.1:5000\" valign=\"top\"/\u003e 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF"
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N/E:P",
"version": "3.1"
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"name": "https://snyk.io/vuln/SNYK-PYTHON-REPORTLAB-1022145",
"refsource": "MISC",
"url": "https://snyk.io/vuln/SNYK-PYTHON-REPORTLAB-1022145"
},
{
"name": "https://www.reportlab.com/docs/reportlab-userguide.pdf",
"refsource": "MISC",
"url": "https://www.reportlab.com/docs/reportlab-userguide.pdf"
},
{
"name": "FEDORA-2021-13cdc0ab0e",
"refsource": "FEDORA",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/HMUJA5GZTPQ5WRYUCCK2GEZM4W43N7HH/"
},
{
"name": "FEDORA-2021-04bfae8300",
"refsource": "FEDORA",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/YZQSFCID67K6BTC655EQY6MNOF35QI44/"
},
{
"name": "[debian-lts-announce] 20230929 [SECURITY] [DLA 3590-1] python-reportlab security update",
"refsource": "MLIST",
"url": "https://lists.debian.org/debian-lts-announce/2023/09/msg00037.html"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c3.5.55",
"affected_versions": "All versions before 3.5.55",
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"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-918",
"CWE-937"
],
"date": "2021-11-30",
"description": "Reportlab is vulnerable to Server-side Request Forgery (SSRF) via `img` tags.",
"fixed_versions": [
"3.5.55"
],
"identifier": "CVE-2020-28463",
"identifiers": [
"CVE-2020-28463"
],
"not_impacted": "All versions starting from 3.5.55",
"package_slug": "pypi/reportlab",
"pubdate": "2021-02-18",
"solution": "Upgrade to version 3.5.55 or above.",
"title": "Server-Side Request Forgery (SSRF)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-28463",
"https://www.reportlab.com/docs/reportlab-userguide.pdf"
],
"uuid": "2ecab06c-a755-4676-b25f-6279d92ae1ae"
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"vulnerable": true
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"operator": "OR"
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"cpe_name": [],
"vulnerable": true
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"ID": "CVE-2020-28463"
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"data_type": "CVE",
"data_version": "4.0",
"description": {
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"lang": "en",
"value": "All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes \u0026 trustedHosts (see in Reportlab\u0027s documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -\u003e odyssey -\u003e dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject \u003cimg src=\"http://127.0.0.1:5000\" valign=\"top\"/\u003e 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF"
}
]
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"tags": [
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},
{
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"tags": [
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"url": "https://www.reportlab.com/docs/reportlab-userguide.pdf"
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"name": "[debian-lts-announce] 20230929 [SECURITY] [DLA 3590-1] python-reportlab security update",
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"url": "https://lists.debian.org/debian-lts-announce/2023/09/msg00037.html"
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"impact": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-09-29T22:15Z",
"publishedDate": "2021-02-18T16:15Z"
}
}
}
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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.
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- 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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