Skip to content
KitploitKITPLOIT
ToolsBlog
Einreichen
ToolsBlog
Einreichen

Hacking-, PenTest- und Cybersicherheits-Tools für Ihr Sicherheitsarsenal!

Kitploit ist ein Verzeichnis von Hacking-, Cybersicherheits- und Pentesting-Tools. Entdecken Sie die neuesten Projekt-Updates, um Schwachstellen zu finden, Systeme zu analysieren, Tests zu automatisieren und Ihre Sicherheit zu stärken.

··Feeds·Kontakt·Datenschutz·© 2026 Kitploit

Tool-Verzeichnis

Kategorien

Alle Kategorien anzeigen
Loading categories
decode-spam-headers — Ein Skript, das dir hilft zu verstehen, warum deine E-Mail im Spam gelandet ist. | Kitploit
Tools/GitHubGitHub/mgeeky/decode-spam-headers
Phishing-ToolsInformationsbeschaffungRed TeamingE-Mail-SicherheitLog-Analyse
GitHubmgeeky/decode-spam-headers

decode-spam-headers

Ein Skript, das dir hilft zu verstehen, warum deine E-Mail im Spam gelandet ist.

Repository anzeigen
698988vor 6 MonatenVon Kitploit geprüft

Beliebteste

Alle anzeigen →

Entdecken Sie die meistgenutzten Tools unserer Community.

Alle Tools erkunden

Durchsuchen Sie unsere Tool-Sammlung

Alle Tools anzeigen →
Teilen

decode-spam-headers.py

Ob Sie versuchen zu verstehen, warum eine bestimmte E-Mail für Ihre täglichen administrativen Aufgaben im SPAM-/Junk-Ordner gelandet ist, oder für Ihre Red-Team-Phishing-Simulationszwecke – dieses Skript hilft Ihnen dabei!

Die Idee entstand während der Durchführung einer kommerziellen Phishing-Simulationsübung gegen eine MS Office365 E5-Umgebung, die mit MS Defender für Office365 ausgestattet war. Wie man sich vorstellen kann, ein ziemlich hartnäckiger Sicherheits-Stack aus der Perspektive der Phishing-Simulation. Nachdem ich manuell alle diese Office365-SMTP-Header durchgesehen hatte und versuchte, die SCL-Werte herauszupicken, war es an der Zeit, einen ordentlichen Parser für SMTP-Header zu schreiben.

Die Zeit verging, ich fügte Unterstützung für immer mehr SMTP-Header hinzu – und hier haben wir es. Ein Tool, das jetzt dutzende verschiedener Header versteht.

Info

Dieses Tool akzeptiert als Eingabe eine *.EML- oder *.txt-Datei mit allen SMTP-Headern. Es extrahiert dann einen Teil der interessanten Header und versucht, diese mit 105+ Tests so weit wie möglich zu dekodieren.

Dieses Skript extrahiert außerdem alle IPv4-Adressen und Domänennamen und führt eine vollständige DNS-Auflösung durch.

Die resultierende Ausgabe enthält nützliche Informationen darüber, warum diese E-Mail möglicherweise blockiert wurde.

Um Ihren Phishing-HTML-Code zu verschönern, bevor Sie ihn an Ihren Kunden senden, können Sie ihn auch in mein phishing-HTML-linter.py einspeisen. Es macht einen ziemlich guten Job beim Finden von bad smells in Ihrem HTML, die dazu führen, dass Ihre E-Mail einen erhöhten Spam-Score erhält.

Beispiel-Screenshots

  • Kette von MTA-Servern (sauber geparste Received-Header):

1.png

  • Verschiedene Header werden so weit wie möglich dekodiert, gemäß öffentlich verfügbarer Dokumentation (hier Office365 ForeFront Spam Report):

2.png

  • Verschiedene benutzerdefinierte Heuristiken, die implementiert wurden, um aktiv Hinweise auf Spam-Kategorisierung zu validieren und zu suchen, hier Logik zur Erkennung von Domain Impersonation:

3.png

  • Das Skript versucht, einige der Office365-Anti-Spam-Regeln zu reverse-engineeren und zu dokumentieren, sowie öffentliches Wissen über andere undurchsichtige Anti-Spam-Header zu sammeln:

4.png

  • Der Bericht kann in ein gut aussehendes HTML generiert werden (Verwendung: py decode-spam-headers.py headers.txt -f html -o report.html ):

5.png

Verarbeitete Header

Verarbeitete Header (mehr als 85+ Header werden geparst):

  • X-forefront-antispam-report
  • X-exchange-antispam
  • X-exchange-antispam-mailbox-delivery
  • X-exchange-antispam-message-info
  • X-microsoft-antispam-report-cfa-test
  • Received
  • From
  • To
  • Subject
  • Thread-topic
  • Received-spf
  • X-mailer
  • X-originating-ip
  • User-agent

Die meisten dieser Header sind nicht vollständig dokumentiert, daher ist das Skript nicht in der Lage, alle Details zu ermitteln, aber es sammelt zumindest alles, was ich darüber finden konnte.

Reverse-Engineering-Bemühungen

Ich unternehme erhebliche Anstrengungen, um verschiedene Office365 ForeFront Anti-Spam-Regeln (SFS, ENG) zu erkennen und zu verstehen, obwohl sie nicht öffentlich dokumentiert sind.```

(5) Test: X-Forefront-Antispam-Report

HEADER: X-Forefront-Antispam-Report

VALUE: CIP:209.85.167.100;CTRY:US;LANG:de;SCL:5;SRV:;IPV:NLI;SFV:SPM;H:mail-lf1-f100.google.com;PTR:mail-l f1-f100.google.com;CAT:DIMP;SFTY:9.19;SFS:(4636009)(956004)(166002)(6916009)(356005)(336012)(19 625305002)(22186003)(5660300002)(4744005)(6666004)(35100500006)(82960400001)(26005)(7596003)(7636003)(554460 02)(224303003)(1096003)(58800400005)(86362001)(9686003)(43540500002);DIR:INB;SFTY:9.19;

[...]

root@kitploit:~
    - Message matched 24 Anti-Spam rules (SFS):           <============ opaque anti-spam rules
            - (1096003)
            - (166002)
            - (19625305002)
            - (22186003)
            - (224303003)
            - (26005)
            - (336012)
            - (356005)
            - (35100500006)         - (SPAM) Message contained embedded image.
root@kitploit:~
Der Prozess ist rein manuell und besteht darin, speziell entworfene E-Mails an die Office365-Mailserver zu senden und anschließend die gesammelten Regeln manuell zu überprüfen und abzugleichen.

Da ich bereits mehr als 60 E-Mails gesendet habe, kann ich inzwischen Folgendes über Microsofts Regeln sagen:```py

    #
    # Below rules were collected solely in a trial-and-error manner or by scraping any 
    # pieces of information from all around the Internet.
    #
    # They do not represent the actual Anti-Spam rule name or context and surely represent 
    # something close to what is understood (or they may have totally different meaning).
    # 
    # Until we'll be able to review anti-spam rules documention, there is no viable mean to map
    # rule ID to its meaning.
    #

    Anti_Spam_Rules_ReverseEngineered = \
    {
        '35100500006' : logger.colored('(SPAM) Message contained embedded image.', 'red'),

        # https://docs.microsoft.com/en-us/answers/questions/416100/what-is-meanings-of-39x-microsoft-antispam-mailbox.html
        '520007050' : logger.colored('(SPAM) Moved message to Spam and created Email Rule to move messages from this particular sender to Junk.', 'red'),

        # triggered on an empty mail with subject being: "test123 - viagra"
        '162623004' : 'Subject line contained suspicious words (like Viagra).',

        # triggered on mail with subject "test123" and body being single word "viagra"
        '19618925003' : 'Mail body contained suspicious words (like Viagra).',

        # triggered on mail with empty body and subject "Click here"
        '28233001' : 'Subject line contained suspicious words luring action (ex. "Click here"). ',

        # triggered on a mail with test subject and 1500 words of http://nietzsche-ipsum.com/
        '30864003' : 'Mail body contained a lot of text (more than 10.000 characters).',

        # mails that had simple message such as "Hello world" triggered this rule, whereas mails with
        # more than 150 words did not.
        '564344004' : 'HTML mail body with less than 150 words of text (not sure how much less though)',

        # message was sent with a basic html and only one <u> tag in body.
        '67856001' : 'HTML mail body contained underline <u> tag.',

        # message with html,head,body and body containing simple text with no b/i/u formatting.
        '579124003' : 'HTML mail body contained text, but no text formatting (<b>, <i>, <u>) was present',

        # This is a strong signal. Mails without <a> doesnt have this rule.
        '166002' : 'HTML mail body contained URL <a> link.',

        # Message contained <a href="https://something.com/file.html?parameter=value" - GET parameter with value.
        '21615005' : 'Mail body contained <a> tag with URL containing GET parameter: ex. href="https://foo.bar/file?aaa=bbb"',

        # Message contained <a href="https://something.com/file.html?parameter=https://another.com/website" 
        # - GET parameter with value, being a URL to another website
        '45080400002' : 'Something about <a> tag\'s URL. Possibly it contained GET parameter with value of another URL: ex. href="https://foo.bar/file?aaa=https://baz.xyz/"',

        # Message contained <a> with href pointing to a file with dangerous extension, such as file.exe
        '460985005' : 'Mail body contained HTML <a> tag with href URL pointing to a file with dangerous extension (such as .exe)',

        #
        # Message1: GoPhish -> VPS 587/tcp redirector -> smtp.gmail.com:587 -> target
        # Message2: GoPhish -> VPS 587/tcp redirector -> smtp-relay.gmail.com:587 -> target
        #
        # These were the only differences I spotted:
        #   Message1 - FirstHop Gmail SMTP Received with ESMTPS.
        #   Message2 - FirstHop Gmail SMTP-Relay Received with ESMTPSA.
        #
        '121216002' : 'First Hop MTA SMTP Server used as a SMTP Relay. It\'s known to originate e-mails, but here it acted as a Relay. Or maybe due to use of "with ESMTPSA" instead of ESMTPS?',

        # Triggered on message with <a> added to HTML: <a href="https://support.spotify.com/is-en/">https://www.reddit.com/</a>
        '966005' : 'Mail body contained link tag with potentially masqueraded URL: <a href="https://attacker.com">https://example.com</a>',

        #
        # Message1: GoPhish EC2 -> another EC2 with socat to smtp.gmail.com:587 (authenticated) -> Target
        # Message2: GoPhish EC2 -> Gsuite -> Target
        #
        # Subject, mail body were exactly the same.
        #
        # Below two rules were added to the second message. My understanding is that they're somehow referring
        # to the reputation of the first-hop server, maybe reverse-DNS resolution.
        #
        '5002400100002' : "(GUESSING) Somehow related to First Hop server reputation, it's reverse-PTR resolution or domain impersonation",
        '58800400005'   : "(GUESSING) Somehow related to First Hop server reputation, it's reverse-PTR resolution or domain impersonation",

        '19625305002' : '(GUESSING) Something to do with the HTML code and used tags/structures',
        '43540500002' : '(GUESSING) Something to do with the HTML code and used tags/structures',

        '460985005' : '(GUESSING) Something to do with either more-complex HTML code or with the <a> tag and its URL.',

        # Triggered on an empty text message, subject "test" - that was marked with "Domain Impersonation", however 
        # ForeFront Anti-Spam headers did not support that Domain Impersonation. Weird.
        '22186003' : '(GUESSING) Something to do with either Text message (non-HTML) or probable Domain Impersonation',

        # Found by @ipSlav (https://github.com/mgeeky/decode-spam-headers/issues/15)
        '42882007' : 'Missing Reply-To Address. Might be fixed by adding -ReplyTo flag to Send-MailMessage',
        '78352004' : 'Missing Reply-To Address. Might be fixed by adding -ReplyTo flag to Send-MailMessage',
    }

Solltest du etwas über andere Office365-Anti-Spam-Regeln wissen (oder Vorschläge zu den oben beschriebenen haben) - lass es mich in den Issues dieses Repos wissen, ich füge es sofort hinzu :)

Verwendung

Installiere die benötigten Python3-Abhängigkeiten vor der ersten Verwendung:``` bash$ pip3 install -r requirements.txt

root@kitploit:~
Hilfe:```
PS> py .\decode-spam-headers.py --help
usage: decode-spam-headers.py [options] <file | --list tests>

optional arguments:
  -h, --help            show this help message and exit

Required arguments:
  infile                Input file to be analysed or --list tests to show available tests.

Options:
  -o OUTFILE, --outfile OUTFILE
                        Output file with report
  -f {json,text,html}, --format {json,text,html}
                        Analysis report format. JSON, text. Default: text
  -N, --nocolor         Dont use colors in text output.
  -v, --verbose         Verbose mode.
  -d, --debug           Debug mode.
  -l, --list            List available tests and quit. Use it like so: --list tests

Tests:
  -i tests, --include-tests tests
                        Comma-separated list of test IDs to run. Ex. --include-tests 1,3,7
  -e tests, --exclude-tests tests
                        Comma-separated list of test IDs to skip. Ex. --exclude-tests 1,3,7
  -r, --resolve         Resolve IPv4 addresses / Domain names.
  -R, --dont-resolve    Do not resolve anything.
  -a, --decode-all      Decode all =?us-ascii?Q? mail encoded messages and print their contents.

Wenn Sie nur eine Teilmenge der Tests ausführen möchten, müssen Sie zuerst die Test-IDs kennen, die Sie auswählen möchten. Führen Sie das Skript mit -l tests aus, um diese Liste zu erhalten.

Liste der verfügbaren Tests und ihrer zugehörigen IDs:``` C:> py decode-spam-headers.py -l tests

[.] Available tests:

root@kitploit:~
    TEST_ID - TEST_NAME
    --------------------------------------
          1 - Received - Mail Servers Flow
          2 - Extracted IP addresses
          3 - Extracted Domains
          4 - Bad Keywords In Headers
          5 - Sender Address Analysis
          6 - Subject and Thread Topic Difference
          7 - Authentication-Results
          8 - ARC-Authentication-Results
          9 - Received-SPF
         10 - Mail Client Version
         11 - User-Agent Version
         12 - X-Forefront-Antispam-Report
         13 - X-MS-Exchange-Organization-SCL
         14 - X-Microsoft-Antispam-Mailbox-Delivery
         15 - X-Microsoft-Antispam Bulk Mail
         16 - X-Exchange-Antispam-Report-CFA-Test
         17 - Domain Impersonation
         18 - SpamAssassin Spam Status
         19 - SpamAssassin Spam Level
         20 - SpamAssassin Spam Flag
         21 - SpamAssassin Spam Report
         22 - OVH's X-VR-SPAMCAUSE
         23 - OVH's X-Ovh-Spam-Reason
         24 - OVH's X-Ovh-Spam-Score
         25 - X-Virus-Scan
         26 - X-Spam-Checker-Version
         27 - X-IronPort-AV
         28 - X-IronPort-Anti-Spam-Filtered
         29 - X-IronPort-Anti-Spam-Result
         30 - X-Mimecast-Spam-Score
         31 - Spam Diagnostics Metadata
         32 - MS Defender ATP Message Properties
         33 - Message Feedback Loop
         34 - End-to-End Latency - Message Delivery Time
         36 - X-IP-Spam-Verdict
         37 - X-Amp-Result
         38 - X-IronPort-RemoteIP
         39 - X-IronPort-Reputation
         40 - X-SBRS
         41 - X-IronPort-SenderGroup
         42 - X-Policy
         43 - X-IronPort-MailFlowPolicy
         44 - X-SEA-Spam
         45 - X-FireEye
         46 - X-AntiAbuse
         47 - X-TMASE-Version
         48 - X-TM-AS-Product-Ver
         49 - X-TM-AS-Result
         50 - X-IMSS-Scan-Details
         51 - X-TM-AS-User-Approved-Sender
         52 - X-TM-AS-User-Blocked-Sender
         53 - X-TMASE-Result
         54 - X-TMASE-SNAP-Result
         55 - X-IMSS-DKIM-White-List
         56 - X-TM-AS-Result-Xfilter
         57 - X-TM-AS-SMTP
         58 - X-TMASE-SNAP-Result
         59 - X-TM-Authentication-Results
         60 - X-Scanned-By
         61 - X-Mimecast-Spam-Signature
         62 - X-Mimecast-Bulk-Signature
         63 - X-Forefront-Antispam-Report-Untrusted
         64 - X-Microsoft-Antispam-Untrusted
         65 - X-Mimecast-Impersonation-Protect
         66 - X-Proofpoint-Spam-Details
         67 - X-Proofpoint-Virus-Version
         68 - SPFCheck
         69 - X-Barracuda-Spam-Score
         70 - X-Barracuda-Spam-Status
         71 - X-Barracuda-Spam-Report
         72 - X-Barracuda-Bayes
         73 - X-Barracuda-Start-Time
         74 - Similar to SpamAssassin Spam Level headers
         75 - SMTP Header Contained IP address
         76 - Other unrecognized Spam Related Headers
         77 - Other interesting headers
         78 - Security Appliances Spotted
         79 - Email Providers Infrastructure Clues
         80 - X-Microsoft-Antispam-Message-Info (use -a to show its results)
         81 - Decoded Mail-encoded header values (use -a to show its results)
         82 - Header Containing Client IP
         83 - Office365 Tenant ID
         84 - Organization Name
         85 - MS Defender for Office365 Safe Links Version
         86 - Suspicious Words in Headers
         87 - AWS SES Outgoing
         88 - IronPort-Data
         89 - IronPort-HdrOrder
         90 - X-DKIM
         91 - DKIM-Filter
         92 - X-SpamExperts-Class
         93 - X-SpamExperts-Evidence
         94 - X-Recommended-Action
         95 - X-AppInfo
         96 - X-Spam
         97 - X-TM-AS-MatchedID
         98 - MTA Hostname Exposed
         99 - Office365 First Contact Safety Tip
        100 - EOP - Bypass Focused Inbox
        101 - EOP - Enhanced Filtering - SkipListedInternetSender
        102 - EOP - Enhanced Filtering - ExternalOriginalInternetSender
        103 - Cloudmark Analysis
        104 - The Real Sender - via Authenticated-Sender
        105 - Identified Sender Addresses
        106 - Unsual SMTP headers
root@kitploit:~
### HTML-Bericht

Um einen HTML-Bericht zu erstellen, verwenden Sie die folgenden Parameter:```
  PS> py decode-spam-headers.py headers.txt -f html -o report.html

Beispielausführung

Beispielausführung (Ausgabestruktur und -inhalte stammen aus einer veralteten Version des Skripts):``` PS> py decode-spam-headers.py headers.txt


(1) Test: Received - Mail Servers Flow

HEADER: Received

VALUE: ...

ANALYSIS: - List of server hops used to deliver message:

root@kitploit:~
      --> (1) "attacker" <[email protected]>

           |_> (2) SMTP-SERVICE (44.55.66.77)
                  time: 01 Jan 2021 12:34:20

              |_> (3) mail-wr1-f51.google.com (209.85.221.51)
                      time: 01 Jan 2021 12:34:20
                      version: fuzzy match: Exchange Server 2019 CU11; October 12, 2021; 15.2.986.9

                  |_> (4) SN1NAM02FT0061.eop-nam02.prod.protection.outlook.com (2603:10b6:806:131:cafe::e5)
                          time: 01 Jan 2021 12:34:20
                          version: fuzzy match: Exchange Server 2019 CU11; October 12, 2021; 15.2.986.9

                      |_> (5) SA0PR11CA0138.namprd11.prod.outlook.com (2603:10b6:806:131::23)
                              time: 01 Jan 2021 12:34:20
                              version: fuzzy match: Exchange Server 2019 CU11; October 12, 2021; 15.2.986.9

                          |_> (6) CP2PR80MB4114.lamprd80.prod.outlook.com (2603:10d6:102:3c::15)
                                  time: 01 Jan 2021 12:34:23

                              |_> (7) "Victim Surname" <[email protected]>

[...]


(4) Test: Mail Client Version

HEADER: X-Mailer

VALUE: OEM

ANALYSIS: - X-Mailer header was present and contained value: "OEM".


(5) Test: X-Forefront-Antispam-Report

HEADER: X-Forefront-Antispam-Report

VALUE: CIP:209.85.167.100;CTRY:US;LANG:de;SCL:5;SRV:;IPV:NLI;SFV:SPM;H:mail-lf1-f100.google.com;PTR:mail-l f1-f100.google.com;CAT:DIMP;SFTY:9.19;SFS:(4636009)(956004)(166002)(6916009)(356005)(336012)(19 625305002)(22186003)(5660300002)(4744005)(6666004)(35100500006)(82960400001)(26005)(7596003)(7636003)(554460 02)(224303003)(1096003)(58800400005)(86362001)(9686003)(43540500002);DIR:INB;SFTY:9.19;

ANALYSIS: - Microsoft Office365/Exchange ForeFront Anti-Spam report

root@kitploit:~
    - CIP: Connecting IP address: 209.85.167.100

    - CTRY: The source country as determined by the connecting IP address
            - US

    - LANG: The language in which the message was written
            - de

    - IPV: Ingress Peer Verification status
            - NLI: The IP address was not found on any IP reputation list.

    - SFV: Message Filtering
            - SPM: The message was marked as spam by spam filtering.

    - H: The HELO or EHLO string of the connecting email server.
            - mail-lf1-f100.google.com

    - PTR: Reverse DNS of the Connecting IP peer's address
            - mail-lf1-f100.google.com

    - CAT: The category of protection policy
            - DIMP: Domain Impersonation

    - SFTY: The message was identified as phishing
            - 9.19: Domain impersonation. The sending domain is attempting to impersonate a protected domain

    - DIR: Direction of email verification
            - INB: Inbound email verification

    - Message matched 24 Anti-Spam rules (SFS):
            - (1096003)
            - (166002)
            - (19625305002)
            - (22186003)
            - (224303003)
            - (26005)
            - (336012)
            - (356005)
            - (35100500006)         - (SPAM) Message contained embedded image.
            - (43540500002)
            - (4636009)
            - (4744005)
            - (55446002)
            - (5660300002)
            - (58800400005)
            - (6666004)
            - (6916009)
            - (7596003)
            - (7636003)
            - (82960400001)
            - (86362001)
            - (956004)
            - (9686003)

    - SCL: Spam Confidence Level: 5
            - SPAM: Spam filtering marked the message as Spam

More information: - https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/anti-spam-message-headers - https://docs.microsoft.com/en-us/exchange/antispam-and-antimalware/antispam-protection/antispam-stamps - https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/spam-confidence-levels - https://docs.microsoft.com/en-us/exchange/monitoring/trace-an-email-message/run-a-message-trace-and-view-results


(6) Test: X-Microsoft-Antispam-Mailbox-Delivery

HEADER: X-Microsoft-Antispam-Mailbox-Delivery

VALUE: ucf:0;jmr:1;auth:0;dest:J;ENG:(910001)(944506458)(944626604)(750132)(520011016);

ANALYSIS: - This header denotes what to do with received message, where to put it.

root@kitploit:~
    - auth: Message originating from Authenticated sender
            - 0: Not Authenticated

    - dest: Destination where message should be placed
            - J: JUNK directory

    - Message matched 6 Anti-Spam Delivery rules:
            - (520011016)
            - (750132)
            - (910001)
            - (944506458)
            - (944626604)

(7) Test: X-Microsoft-Antispam Bulk Mail

HEADER: X-Microsoft-Antispam VALUE: BCL:0;

ANALYSIS: - BCL: BULK Confidence Level: 0 The message isn't from a bulk sender.

root@kitploit:~
More information:
            - https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/bulk-complaint-level-values

[...]


(10) Test: MS Defender ATP Message Properties

HEADER: X-MS-Exchange-AtpMessageProperties

VALUE: SA|SL

ANALYSIS: - MS Defender Advanced Threat Protection enabled following protections on this message: - Safe Attachments Protection - Safe Links Protection


(11) Test: Domain Impersonation

HEADER: From

VALUE: "attacker" [email protected]

ANALYSIS: - Mail From: [email protected]

root@kitploit:~
            - Mail Domain: attacker.com
                   --> resolves to: 11.22.33.44
                       --> reverse-DNS resolves to: ec2-11-22-33-44.eu-west-3.compute.amazonaws.com
                           (sender's domain: amazonaws.com)

            - First Hop:   SMTP-SERVICE (44.55.66.77)
                   --> resolves to:
                       --> reverse-DNS resolves to: host44-55-66-77.static.arubacloud.pl
                           (first hop's domain: arubacloud.pl)

    - Domain SPF: "v=spf1 include:_spf.google.com ~all"

    - WARNING! Potential Domain Impersonation!
            - Mail's domain should resolve to:      amazonaws.com
            - But instead first hop resolved to:    arubacloud.pl
root@kitploit:~
---

### Danksagungen

- [ipSlav](https://github.com/ipSlav) - für das [Identifizieren zweier undurchsichtiger Office365-Regeln](https://github.com/mgeeky/decode-spam-headers/issues/15): `42882007` und `78352004`


---

### Bekannte Probleme

- Die Methode `getOffice365TenantNameById(tenantID)` ist noch nicht fertiggestellt. Ich kenne ein paar Möglichkeiten, um die Office365-Tenant-GUID einem Tenant-Namen zuzuordnen, konnte aber noch keinen stabilen Weg etablieren.
- Der `Authentication-Results`-Header ist noch nicht vollständig geparst – die `reason`-Verarbeitung und weitere Felder müssen gemäß [Microsoft-Dokumentation](https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/anti-spam-message-headers?view=o365-worldwide) noch eingebaut werden.

---

### ☕ Unterstützung zeigen ☕

Dieses und andere Projekte sind das Ergebnis schlafloser Nächte und **viel harter Arbeit**. Wenn dir gefällt, was ich tue, und du schätzt, dass ich der Community immer etwas zurückgebe, [Überlege, mir einen Kaffee zu kaufen](https://github.com/sponsors/mgeeky) _(oder besser ein Bier)_ nur um Danke zu sagen! 💪 

---```
Mariusz Banach / mgeeky, (@mariuszbit)
<mb [at] binary-offensive.com>
Tool herunterladen
  • X-forefront-antispam-report
  • X-microsoft-antispam-mailbox-delivery
  • X-microsoft-antispam
  • X-exchange-antispam-report-cfa-test
  • X-spam-status
  • X-spam-level
  • X-spam-flag
  • X-spam-report
  • X-vr-spamcause
  • X-ovh-spam-reason
  • X-vr-spamscore
  • X-virus-scanned
  • X-spam-checker-version
  • X-ironport-av
  • X-ironport-anti-spam-filtered
  • X-ironport-anti-spam-result
  • X-mimecast-spam-score
  • Spamdiagnosticmetadata
  • X-ms-exchange-atpmessageproperties
  • X-msfbl
  • X-ms-exchange-transport-endtoendlatency
  • X-ms-oob-tlc-oobclassifiers
  • X-ip-spam-verdict
  • X-amp-result
  • X-ironport-remoteip
  • X-ironport-reputation
  • X-sbrs
  • X-ironport-sendergroup
  • X-policy
  • X-ironport-mailflowpolicy
  • X-remote-ip
  • X-sea-spam
  • X-fireeye
  • X-antiabuse
  • X-tmase-version
  • X-tm-as-product-ver
  • X-tm-as-result
  • X-imss-scan-details
  • X-tm-as-user-approved-sender
  • X-tm-as-user-blocked-sender
  • X-tmase-result
  • X-tmase-snap-result
  • X-imss-dkim-white-list
  • X-tm-as-result-xfilter
  • X-tm-as-smtp
  • X-scanned-by
  • X-mimecast-spam-signature
  • X-mimecast-bulk-signature
  • X-sender-ip
  • X-forefront-antispam-report-untrusted
  • X-microsoft-antispam-untrusted
  • X-sophos-senderhistory
  • X-sophos-rescan
  • X-MS-Exchange-CrossTenant-Id
  • X-OriginatorOrg
  • IronPort-Data
  • IronPort-HdrOrdr
  • X-DKIM
  • DKIM-Filter
  • X-SpamExperts-Class
  • X-SpamExperts-Evidence
  • X-Recommended-Action
  • X-AppInfo
  • X-Spam
  • X-TM-AS-MatchedID
  • X-MS-Exchange-EnableFirstContactSafetyTip
  • X-MS-Exchange-Organization-BypassFocusedInbox
  • X-MS-Exchange-SkipListedInternetSender
  • X-MS-Exchange-ExternalOriginalInternetSender
  • X-CNFS-Analysis
  • X-Authenticated-Sender
  • X-Apparently-From
  • X-Env-Sender
  • Sender