Malicious PDF — malware analysis report

Static analysis result for SHA-256 e85e47fe3fc07a6a…

MALICIOUS

PDF

40.4 KB Created: 2020-08-26 18:41:03 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: cdd3cc3063f974f513bd02857df44150 SHA-1: 29cde74351c28586d7ee108f2dddc15718d2853c SHA-256: e85e47fe3fc07a6a77b083dc23f1469fc48c2bd3c89baf21337aecace4805576
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains a large number of embedded links, many of which point to potentially malicious redirectors or link farms. The "Uber social media fail" theme in the document body suggests a social engineering lure. The ML classifier strongly indicated maliciousness, and the PDF_MALICIOUS_REDIRECTOR_LINK heuristic confirms the presence of links to known malicious infrastructure.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://ttraff.ru/pify?keyword=uber+social+media+fail
    • http://files.sfcnewhire.com/uploads/1/3/0/7/130776120/xabuvedo_rigiwobap_labozimupufor.pdf
    • http://pajojo.itgraduatefair.co.uk/uploads/1/3/2/6/132682052/4053136.pdf
    • https://cdn.shopify.com/s/files/1/0462/2883/2405/files/crayfish_dissection_holt_answers.pdf
    • https://cdn.shopify.com/s/files/1/0431/3019/2039/files/77628177986.pdf
    • https://cdn.shopify.com/s/files/1/0430/7222/5442/files/17402009404.pdf
    • https://cdn.shopify.com/s/files/1/0431/1734/6976/files/aahe_manohar_tari_download.pdf
    • https://cdn.shopify.com/s/files/1/0434/6799/7344/files/kevelu.pdf
    • https://cdn.shopify.com/s/files/1/0433/2378/5370/files/46141066622.pdf
    • https://cdn.shopify.com/s/files/1/0432/3416/4893/files/12737358875.pdf
    • https://cdn.shopify.com/s/files/1/0452/1204/1367/files/17730810050.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00005de6.bin
c0e621ca8d4d3a471472988a27c283af565cb92a7186c6ea039f2fce03247ea3		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5DE6 5296 bytes
font_01_sfnt_off00006fcd.bin
2366c17c3676aee10eed780b4b43ea3e1f96c52376aae76858e61495a3d16e27		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6FCD 11084 bytes

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